{"id":"W4396655322","doi":"10.1098/rstb.2023.0108","title":"Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects","year":2024,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre de Géomatique du Québec; Canadian Forest Service; Mila - Quebec Artificial Intelligence Institute; Espace pour la vie; Université Laval; Natural Resources Canada; Université de Sherbrooke","funders":"Centre for Ecology and Hydrology; Natural Environment Research Council; Engineering and Physical Sciences Research Council; HORIZON EUROPE Framework Programme; Novo Nordisk Fonden; European Commission; Sight Research UK; Canadian Institute for Advanced Research","keywords":"Computer science; Metadata; Scalability; Workflow; Software deployment; Artificial intelligence; Real-time computing; Data mining; Data science; Database; Software engineering; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01531274,0.001784691,0.00174615,0.004159531,0.001524623,0.008971432,0.007734092,0.003843199,0.003162294],"category_scores_gemma":[0.01373331,0.001686652,0.002815146,0.002963064,0.004522181,0.006803142,0.007026488,0.00619071,0.004814181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00274302,"about_ca_system_score_gemma":0.006762628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193781,"about_ca_topic_score_gemma":0.0115905,"domain_scores_codex":[0.9903356,0.002443601,0.001672621,0.001380972,0.003606095,0.0005611652],"domain_scores_gemma":[0.9883235,0.002001248,0.0009401897,0.003349038,0.004327571,0.001058473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001551801,0.0004529278,0.002995767,0.001445482,0.0002550602,0.0009768071,0.001856857,0.07374871,0.02737942,0.6011233,0.03286001,0.2567505],"study_design_scores_gemma":[0.00005845509,0.0002608992,0.002143197,0.0009340607,0.0001577615,0.0008259758,0.000589377,0.4085859,0.01651881,0.2307519,0.3389343,0.0002393319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003982518,0.0001798863,0.9949505,0.0003509189,0.00006359222,0.0002278309,0.0001490399,0.002438456,0.001241504],"genre_scores_gemma":[0.01117158,0.0004792785,0.9841904,0.0002570181,0.0001094984,0.0006598951,0.0009191907,0.0005126182,0.001700488],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01531274,"threshold_uncertainty_score":0.08098245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0812548889010207,"score_gpt":0.3289471972144511,"score_spread":0.2476923083134304,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}