{"id":"W2061978740","doi":"10.1073/pnas.0912928107","title":"Reply to Rankin et al.: The efficiency ratio of costly punishment","year":2009,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Adaptation (eye); Climate change; Punishment (psychology); Macro; Sustainability; Economics; Environmental resource management; Psychology; Political science; Computer science; Ecology; Social psychology; Biology; Neuroscience","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":[0.01007359,0.001797691,0.002653809,0.001360324,0.003387133,0.004986046,0.004735935,0.04001134,0.01115516],"category_scores_gemma":[0.07121979,0.001146588,0.001543006,0.002013847,0.005822261,0.005768349,0.002674374,0.04185449,0.01070875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002986287,"about_ca_system_score_gemma":0.003060056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002970821,"about_ca_topic_score_gemma":0.002618515,"domain_scores_codex":[0.9961494,0.001440406,0.0003613397,0.0007554502,0.00100211,0.0002912779],"domain_scores_gemma":[0.9528069,0.03525234,0.001723735,0.001807833,0.006635766,0.001773398],"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":[0.00009286704,0.00001735866,0.0001988938,0.00007382318,0.00002199383,0.00008972135,0.00006347833,0.00006575351,0.00005828838,0.002039498,0.9931979,0.004080466],"study_design_scores_gemma":[0.0007016875,0.0001747426,0.004030907,0.0006541626,0.0002064535,0.002038555,0.001028639,0.001344358,0.00142448,0.07521687,0.9128764,0.0003028304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002242588,0.001803029,0.0001234374,0.9755023,0.02172958,0.000005009886,0.0001500118,0.00004046814,0.0004218071],"genre_scores_gemma":[0.006193085,0.002402672,0.0002728195,0.9158009,0.07276145,0.00003706286,0.0001158698,0.00005628954,0.002359804],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04001134,"threshold_uncertainty_score":0.05327487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06057012912941673,"score_gpt":0.3812283554221638,"score_spread":0.3206582262927471,"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."}}