{"id":"W2807420461","doi":"10.46867/ijcp.2018.31.04.06","title":"The progressive elimination task in dogs (Canis familiaris): The case of divergence","year":2018,"lang":"en","type":"article","venue":"International Journal of Comparative Psychology","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Divergence (linguistics); Novelty; Task (project management); Canis; Mathematics; Statistics; Psychology; Social psychology; Biology; Ecology; Engineering","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":[0.001342106,0.0006385272,0.000858955,0.0004613826,0.0003629913,0.0006393608,0.0006945246,0.001138644,0.001367065],"category_scores_gemma":[0.003498463,0.0003985245,0.0003178907,0.000173953,0.001360475,0.0009683228,0.001335557,0.001679692,0.0001722516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005779158,"about_ca_system_score_gemma":0.0005534964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001880879,"about_ca_topic_score_gemma":0.004244919,"domain_scores_codex":[0.9991873,0.0001646863,0.00008466011,0.0002708217,0.0001698534,0.0001226111],"domain_scores_gemma":[0.9974875,0.0007937542,0.000610287,0.0005207256,0.0001164515,0.0004713259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01025737,0.004026092,0.05406103,0.0005676809,0.0002462656,0.001282566,0.002421823,0.001918739,0.8838491,0.002788761,0.00115499,0.03742566],"study_design_scores_gemma":[0.001539396,0.03569047,0.6644695,0.0001824286,0.0004851976,0.007580549,0.00229266,0.02934166,0.2339685,0.0172945,0.006736916,0.0004181233],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979218,0.00006884644,0.0009407142,0.00008648184,0.000009726721,0.00002129312,0.00003289669,0.00001823656,0.0009000149],"genre_scores_gemma":[0.9944739,0.00009821287,0.003775014,0.0001598182,0.00001252388,0.0001191031,0.0001984113,0.00002564265,0.001137309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001880879,"threshold_uncertainty_score":0.007097781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06059251600583252,"score_gpt":0.4748927528454954,"score_spread":0.4143002368396628,"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."}}