{"id":"W4252868101","doi":"10.1093/af/vfy004","title":"Introduction","year":2018,"lang":"en","type":"article","venue":"Animal Frontiers","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computational biology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001465103,0.00008454309,0.00008871562,0.00008711184,0.0001030837,0.00002571577,0.0001080373,0.0000400567,0.0007844698],"category_scores_gemma":[0.00006221829,0.00008466061,0.00003568637,0.0002422715,0.000203071,0.0002346576,0.00002501319,0.00006702991,0.01874636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008487695,"about_ca_system_score_gemma":0.00001743285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002418659,"about_ca_topic_score_gemma":0.000009603027,"domain_scores_codex":[0.999256,0.00002752575,0.00009658567,0.0002393005,0.0001431017,0.0002374946],"domain_scores_gemma":[0.999607,0.000002030358,0.00003766505,0.0002028271,0.00008601642,0.00006445754],"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":[0.000182251,0.00001597139,0.003942023,9.287922e-7,0.00002021176,0.000001167643,0.0001334717,2.453881e-7,0.05265098,0.001070849,0.9404862,0.001495681],"study_design_scores_gemma":[0.0002101646,0.0003573756,0.02204944,0.000001301079,0.00002000445,0.000008462407,0.0002462778,0.0003434101,0.02093521,0.0004373431,0.9552487,0.0001422756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9567701,0.0001813369,0.002695291,0.002450226,0.003077568,0.000150328,0.00001242651,0.0004990794,0.03416364],"genre_scores_gemma":[0.9833475,0.00000210677,0.007993168,0.0001170552,0.005490697,0.000004243763,0.000008892134,0.00004440816,0.002991967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03171577,"threshold_uncertainty_score":0.9820176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00816379302137445,"score_gpt":0.2333255620244028,"score_spread":0.2251617690030284,"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."}}