{"id":"W6984079493","doi":"","title":"4 Live Crew Ep 006","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crew; Ticket; Comics; Test (biology)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004120796,0.0007726373,0.0004217371,0.001049779,0.001900696,0.003669793,0.001005278,0.001332865,0.9123689],"category_scores_gemma":[0.00156656,0.0003138815,0.0004520566,0.0008232182,0.0003340594,0.002059798,0.002597394,0.001456331,0.8193582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008014609,"about_ca_system_score_gemma":0.0009496237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008704618,"about_ca_topic_score_gemma":0.02609657,"domain_scores_codex":[0.9996642,0.00002681197,0.00000850671,0.00006153338,0.0001779908,0.00006099103],"domain_scores_gemma":[0.9992422,0.00005567085,0.00001694935,0.00009910631,0.0003365056,0.0002495982],"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":[0.00003187618,0.00002855665,0.0001185563,0.00003138399,0.000001127826,0.00004639979,0.00004152006,0.00002526223,0.0002089565,0.001319151,0.9466045,0.05154257],"study_design_scores_gemma":[0.000004011975,0.000009954149,0.0002810073,0.00002466172,7.043348e-7,0.00002875742,0.00006971649,0.00004143719,0.00009035631,0.0002418542,0.9992048,0.000002853549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003432794,0.00009974182,0.0005648514,0.0004000056,0.0005485162,0.0000588415,0.001759527,0.001449521,0.9947757],"genre_scores_gemma":[0.0006876934,0.00004828683,0.0001602626,0.0001082634,0.00004588539,0.00001236112,0.0007592978,0.0003384448,0.9978395],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08763111,"threshold_uncertainty_score":0.1249951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130200349587862,"score_gpt":0.1625515141434526,"score_spread":0.151249510647574,"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."}}