{"id":"W2751778071","doi":"10.1177/1745691617708630","title":"Constraints on Generality (COG): A Proposed Addition to All Empirical Papers","year":2017,"lang":"en","type":"article","venue":"Perspectives on Psychological Science","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":987,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"University of Illinois at Urbana-Champaign","keywords":"Generality; Cog; Computer science; Empirical research; Psychology; Programming language; Cognitive science; Artificial intelligence; Mathematics; Statistics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1660473,0.002103374,0.004043157,0.01335127,0.0099803,0.02785872,0.009065012,0.01619515,0.01225842],"category_scores_gemma":[0.4484257,0.001783312,0.004209841,0.01669873,0.0522146,0.04877207,0.02354208,0.02300584,0.003063104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008367307,"about_ca_system_score_gemma":0.01948734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003636465,"about_ca_topic_score_gemma":0.002787847,"domain_scores_codex":[0.8581726,0.06641606,0.02102304,0.01565931,0.03512259,0.003606316],"domain_scores_gemma":[0.3654745,0.4170515,0.03617688,0.1000211,0.07070284,0.01057328],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002117903,0.00008470429,0.003275376,0.001045482,0.0001563004,0.0002741573,0.002549692,0.0006764991,0.0002343833,0.9163218,0.03091133,0.04425858],"study_design_scores_gemma":[0.00009950938,0.00005198931,0.001198056,0.0009846085,0.0001493474,0.0002883967,0.0005663942,0.0008494189,0.00031055,0.9331992,0.06221684,0.00008569545],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02109421,0.02158307,0.2155358,0.5691738,0.01899785,0.001017655,0.002012184,0.0009280489,0.1496573],"genre_scores_gemma":[0.5073286,0.01239467,0.2566429,0.1785143,0.02948695,0.003245847,0.001734487,0.0008288872,0.009823258],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8339527,"threshold_uncertainty_score":0.8781528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3898253117507056,"score_gpt":0.564905420205657,"score_spread":0.1750801084549514,"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."}}