{"id":"W6931842640","doi":"10.5683/sp3/kj1unc","title":"Kevin Gets Cranky","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Action (physics); Training (meteorology); Apprenticeship; Work (physics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000621708,0.00216474,0.0009243098,0.001611314,0.001253713,0.00234548,0.00171977,0.002028747,0.05442193],"category_scores_gemma":[0.004844191,0.000552555,0.001122593,0.00222328,0.0004096393,0.001910692,0.00202753,0.001538125,0.100086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002009,"about_ca_system_score_gemma":0.001327561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04119279,"about_ca_topic_score_gemma":0.1094391,"domain_scores_codex":[0.9992208,0.0001157454,0.00006565579,0.0002764813,0.000181056,0.0001402818],"domain_scores_gemma":[0.998784,0.000254507,0.0001138276,0.0003383082,0.0003349684,0.0001744362],"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":[0.00008050474,0.00001805969,0.001984301,0.0002074314,0.00001365467,0.00003591735,0.00002590961,0.000127526,0.0000669857,0.0001972089,0.9930124,0.004230077],"study_design_scores_gemma":[0.00007427006,0.00003152079,0.007630042,0.0002578163,0.00002366648,0.0001979548,0.0001989011,0.0006080769,0.0004568915,0.0009777967,0.9895083,0.00003472354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0009927816,0.0002675132,0.0002387001,0.0004094157,0.000207332,0.00002694313,0.9919906,0.001190144,0.004676585],"genre_scores_gemma":[0.001843466,0.0001432577,0.0004474974,0.0002231956,0.0000224365,0.00004373612,0.9941664,0.0000961939,0.003013764],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9455781,"threshold_uncertainty_score":0.1820595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242132186862347,"score_gpt":0.2814332299241013,"score_spread":0.2590119080554779,"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."}}