{"id":"W6950784873","doi":"10.5683/sp3/0yfjed","title":"Pelagic Species Trait Database","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Predation; Pelagic zone; Trait; Habitat; Selection (genetic algorithm); Resource (disambiguation); Apex predator; Vulnerability (computing)","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":[0.0006837056,0.0007538469,0.0009093821,0.004683389,0.0006172071,0.001229778,0.001190034,0.0005605692,0.1412206],"category_scores_gemma":[0.004198269,0.0003477888,0.0006216481,0.006776815,0.0001707189,0.001234423,0.001394399,0.0005485524,0.07438425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008523327,"about_ca_system_score_gemma":0.001402856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570648,"about_ca_topic_score_gemma":0.02617186,"domain_scores_codex":[0.9993611,0.00004401696,0.0002224452,0.0001572424,0.0001558602,0.0000593728],"domain_scores_gemma":[0.9974469,0.0003225123,0.0003450259,0.0003747146,0.001309829,0.0002009509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000309175,0.0000262266,0.01634764,0.002916821,0.0001114585,0.0001471031,0.0001977195,0.0002993369,0.001327199,0.002780979,0.919048,0.0564883],"study_design_scores_gemma":[0.00007937822,0.00003146776,0.06275887,0.0003694808,0.00007176177,0.0001503264,0.0001402791,0.0004404855,0.0005433189,0.001783288,0.9335824,0.00004901551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001872326,0.000271871,0.0005765198,0.00008519605,0.00003593758,0.0000808113,0.9874448,0.0005728289,0.009059711],"genre_scores_gemma":[0.007590625,0.0003886965,0.002555043,0.0001272481,0.00002171853,0.0004392765,0.9819759,0.0002507677,0.006650653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1412206,"threshold_uncertainty_score":0.47243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05435804729003639,"score_gpt":0.2960495710069486,"score_spread":0.2416915237169122,"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."}}