{"id":"W7005062611","doi":"","title":"Police officer apologizes to Nickelback","year":2016,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Officer; Punishment (psychology); Faith; Power (physics); Criminal law","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":[0.001007224,0.0006604094,0.0004428639,0.0006674601,0.007432104,0.003301206,0.001157706,0.005194405,0.2159148],"category_scores_gemma":[0.01219895,0.0003253263,0.000378287,0.0005082738,0.0009088962,0.002284388,0.002702238,0.007638479,0.1118825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002545817,"about_ca_system_score_gemma":0.00586823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02395227,"about_ca_topic_score_gemma":0.03977657,"domain_scores_codex":[0.9981857,0.0002009577,0.0001086537,0.0001743069,0.0009341574,0.0003962146],"domain_scores_gemma":[0.9968566,0.0002829094,0.0001803374,0.0003410541,0.001546686,0.0007924348],"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":[0.000005448107,0.000008446381,0.00006686084,0.000006882863,6.279718e-7,0.0001164927,0.0001207769,0.000003523364,0.00003314621,0.0008420018,0.9948813,0.003914524],"study_design_scores_gemma":[0.00000346685,0.000009497759,0.0002384791,0.00002717296,0.000001298933,0.0001547452,0.000649198,0.00002004283,0.0000835553,0.0004175989,0.9983891,0.000005752788],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00333916,0.0009899623,0.0006080553,0.2090772,0.04438042,0.0003061366,0.0009965266,0.002175313,0.7381271],"genre_scores_gemma":[0.01051192,0.0004752138,0.0002070007,0.04459753,0.002446339,0.00007009441,0.0003253334,0.000215779,0.9411507],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2159148,"threshold_uncertainty_score":0.7223068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0282926700253944,"score_gpt":0.2341008644970399,"score_spread":0.2058081944716455,"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."}}