{"id":"W7026442479","doi":"","title":"Aberrant colouration in some Ontario birds","year":2024,"lang":"en","type":"article","venue":"Digital Commons - University of South Florida (University of South Florida)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of Pittsburgh","keywords":"Ectotherm; Population; Selection (genetic algorithm); Natural (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001764392,0.0001684018,0.0002166076,0.001123686,0.002991051,0.0005998531,0.000321204,0.000390862,0.003062127],"category_scores_gemma":[0.0006408848,0.0002231581,0.0001636453,0.0008973406,0.001707928,0.0001609314,0.0003903552,0.0003197768,0.000338314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004855145,"about_ca_system_score_gemma":0.001599957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.727021,"about_ca_topic_score_gemma":0.9398261,"domain_scores_codex":[0.9997994,0.00001628604,0.000006086218,0.0000451132,0.00005975468,0.00007337534],"domain_scores_gemma":[0.9993672,0.00005908305,0.000119627,0.00004506884,0.0001985025,0.0002105491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005293561,0.00005856915,0.9526226,0.00004497952,0.00004957794,0.003577924,0.01125599,0.0001678326,0.01763991,0.0005536753,0.001669054,0.01183049],"study_design_scores_gemma":[0.00000420378,0.00004034202,0.99422,0.000004670294,0.000009744325,0.0009363911,0.002461742,0.0000682843,0.0003530962,0.00005287069,0.001840587,0.000007932461],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953135,0.00006224735,0.00004941775,0.00006230264,0.000004377412,0.000005807779,0.0001083066,0.000005289789,0.004388801],"genre_scores_gemma":[0.9964626,0.00006508645,0.0001019815,0.00002915797,0.000002427611,0.000002363761,0.00006739149,0.000006722828,0.003262228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.272979,"threshold_uncertainty_score":0.5491732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03222522117408362,"score_gpt":0.1702672262507476,"score_spread":0.138042005076664,"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."}}