{"id":"W6999022490","doi":"","title":"2024-12-22 - BTWRLM608 - Moral Hazard","year":2024,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pretext; Staring; Government (linguistics); Circumstantial evidence; Limiting; Gloom","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":[0.001566991,0.0006944961,0.0004231677,0.0008240066,0.002324706,0.006592569,0.001345539,0.004142192,0.8539859],"category_scores_gemma":[0.008792779,0.000324379,0.0006563375,0.0007254726,0.000651298,0.003876597,0.00310936,0.003249195,0.7999382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002539333,"about_ca_system_score_gemma":0.003344815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01030904,"about_ca_topic_score_gemma":0.01989886,"domain_scores_codex":[0.998697,0.0002024809,0.00003855356,0.0001247494,0.0006325601,0.0003047185],"domain_scores_gemma":[0.9958411,0.0006096485,0.0001096893,0.0004217607,0.001561136,0.001456704],"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":[0.000008476118,0.00001011311,0.00005155532,0.00002119641,6.584392e-7,0.00001261658,0.00001380507,0.00001762701,0.0000438628,0.002270005,0.9861513,0.01139878],"study_design_scores_gemma":[0.0000074695,0.00000455458,0.0001396296,0.00002824123,5.662266e-7,0.00001627422,0.000040558,0.00004909568,0.0000596437,0.0006831698,0.9989671,0.000003697462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003308121,0.0003085717,0.00149802,0.01321317,0.003179122,0.0001625626,0.005284246,0.005193537,0.97083],"genre_scores_gemma":[0.003701248,0.0002709946,0.0008319279,0.007457375,0.0004514038,0.0001367631,0.003156039,0.002539069,0.9814551],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1460141,"threshold_uncertainty_score":0.2082713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02025248173412784,"score_gpt":0.2632388861934668,"score_spread":0.242986404459339,"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."}}