{"id":"W2970479925","doi":"10.1101/161125","title":"Artificial Intelligence for Ecological and Evolutionary Synthesis","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Nvidia","keywords":"Theoretical ecology; Population; Evolutionary ecology; Artificial life; Diversity (politics); Sociobiology; Ecological systems theory; Biodiversity","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":[0.00383465,0.0009312081,0.001139135,0.002666716,0.0008574189,0.00485934,0.001362176,0.001820473,0.01112963],"category_scores_gemma":[0.007604372,0.0003585903,0.001362772,0.001801568,0.004819772,0.005539818,0.002855172,0.003150105,0.001208283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002028068,"about_ca_system_score_gemma":0.001345213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001294816,"about_ca_topic_score_gemma":0.001024579,"domain_scores_codex":[0.9983795,0.0008778589,0.0001294879,0.0002300938,0.0003263566,0.00005670492],"domain_scores_gemma":[0.9962112,0.002592608,0.0002053766,0.0005786556,0.0003167368,0.0000954938],"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":[0.000007213736,0.00001366816,0.0001635778,0.000185881,0.00004370792,0.00005216456,0.00008870936,0.00884039,0.000158578,0.9722807,0.002875634,0.01528975],"study_design_scores_gemma":[0.000004021373,0.000003927364,0.0000557524,0.00006942403,0.000005362313,0.00001364006,0.00002908118,0.01126451,0.00006450281,0.9746408,0.01384347,0.000005513848],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009307329,0.0297226,0.7699652,0.02922771,0.001675409,0.0001961122,0.0006289097,0.0006390215,0.1586377],"genre_scores_gemma":[0.4289579,0.02845027,0.5085031,0.003908918,0.002990732,0.001009154,0.001319302,0.0003775409,0.02448304],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01112963,"threshold_uncertainty_score":0.03723228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03771471729375475,"score_gpt":0.2576568871031824,"score_spread":0.2199421698094276,"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."}}