{"id":"W4404801440","doi":"10.1016/j.procs.2024.09.492","title":"Zero-Shot-Learning for Plant Species Classification","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Smart Agriculture and AI","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Computer science; Shot (pellet); Zero (linguistics); Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001725541,0.0009014313,0.00148173,0.00193966,0.0008350115,0.00103132,0.003131971,0.001723455,0.002912045],"category_scores_gemma":[0.004425438,0.0004623443,0.001122415,0.001542671,0.00125957,0.002282194,0.002352972,0.001814956,0.00113105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322796,"about_ca_system_score_gemma":0.001241794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006084185,"about_ca_topic_score_gemma":0.007018236,"domain_scores_codex":[0.9988123,0.0002862976,0.00006309674,0.0004147699,0.0002887051,0.0001348135],"domain_scores_gemma":[0.9982225,0.0009517858,0.0001115446,0.0003157524,0.0002972846,0.0001011341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004073827,0.0005069228,0.002749611,0.00044044,0.0001399624,0.0002175721,0.0003770284,0.138678,0.01507118,0.01266723,0.008590584,0.8201541],"study_design_scores_gemma":[0.00001232107,0.00007015632,0.0004297464,0.00001733018,0.00001292718,0.00006014521,0.00006111363,0.9745083,0.004069439,0.0193037,0.001437607,0.00001713419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03102989,0.0009340625,0.9628572,0.0002530561,0.00008679827,0.0001289502,0.0004219672,0.00256227,0.001725755],"genre_scores_gemma":[0.6196603,0.0004461247,0.3718957,0.0005121264,0.0001244185,0.00031527,0.002737955,0.0002276512,0.004080472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006084185,"threshold_uncertainty_score":0.01209754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04391339696116745,"score_gpt":0.2325605185685175,"score_spread":0.18864712160735,"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."}}