{"id":"W2936606515","doi":"10.3819/ccbr.2019.140004","title":"Clarifying Contrast, Acknowledging the Past, and Expanding the Focus","year":2019,"lang":"en","type":"article","venue":"Comparative Cognition & Behavior Reviews","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Contrast (vision); Margin (machine learning); Focus (optics); White (mutation); Space (punctuation); Psychology; Cognitive psychology; Linguistics; Artificial intelligence; Computer science; Biology; Philosophy; Optics; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01040275,0.000658065,0.0006839794,0.001393458,0.003720358,0.00818177,0.00273427,0.002624513,0.02377915],"category_scores_gemma":[0.03277946,0.0005050154,0.0005878989,0.000814865,0.00680348,0.01957327,0.006080355,0.005840011,0.006113222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003106519,"about_ca_system_score_gemma":0.003397051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002674761,"about_ca_topic_score_gemma":0.006610967,"domain_scores_codex":[0.9968691,0.001101575,0.0002474475,0.0007925362,0.0007132096,0.0002760387],"domain_scores_gemma":[0.9862573,0.006101005,0.001218433,0.002472068,0.003112813,0.0008384669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007105121,0.000173852,0.004746578,0.001555588,0.00007305985,0.0007592124,0.04357247,0.0001697371,0.009667614,0.6903502,0.07275348,0.1754677],"study_design_scores_gemma":[0.00009002836,0.00009708974,0.006512745,0.001251488,0.0001024682,0.0007300463,0.01464043,0.0005862582,0.004761996,0.4156552,0.5554666,0.0001056171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.06908751,0.02017745,0.09863975,0.2337638,0.02822228,0.0003239479,0.0009657638,0.0006629209,0.5481566],"genre_scores_gemma":[0.8053004,0.00992381,0.07575783,0.04435012,0.009394725,0.000635727,0.001071967,0.0013756,0.05218991],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02377915,"threshold_uncertainty_score":0.07954919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.418837662761833,"score_gpt":0.4373447429810402,"score_spread":0.01850708021920716,"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."}}