{"id":"W7027119766","doi":"","title":"2023-07-09 - BTWRLM532 - Turning Tide","year":2023,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pentagon; Supreme court; Government (linguistics); Phone; House of Representatives; Agency (philosophy)","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":[0.001032911,0.0006685306,0.0003417432,0.0006831269,0.003135914,0.004614237,0.0009984361,0.002316983,0.7902488],"category_scores_gemma":[0.003018135,0.0005078251,0.0004207968,0.0006747651,0.0005741642,0.002724353,0.002371113,0.00253173,0.7264303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002041189,"about_ca_system_score_gemma":0.002527939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03438492,"about_ca_topic_score_gemma":0.08773907,"domain_scores_codex":[0.9991971,0.00008631616,0.00002380164,0.0001121754,0.0003616021,0.0002190401],"domain_scores_gemma":[0.9983021,0.0001260351,0.00004189879,0.0001903147,0.0008495825,0.0004899926],"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":[0.00002654216,0.00002010685,0.0001182736,0.00001510868,0.00000101501,0.00002535544,0.00002059155,0.00002058102,0.0001476786,0.001094288,0.9891658,0.009344542],"study_design_scores_gemma":[0.000006311006,0.000008043375,0.000197561,0.00001033749,6.547514e-7,0.00001256021,0.00006846617,0.00004665106,0.0001273723,0.0002066449,0.9993114,0.000003902251],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007451691,0.0001366149,0.001792905,0.004922621,0.00311723,0.0001740528,0.007895298,0.005186568,0.9760297],"genre_scores_gemma":[0.003252149,0.00008618359,0.000578718,0.002535589,0.0001267897,0.00007345588,0.00375708,0.00129596,0.9882941],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2097512,"threshold_uncertainty_score":0.2991847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01806516143100453,"score_gpt":0.2611919522812578,"score_spread":0.2431267908502533,"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."}}