{"id":"W7117475692","doi":"10.1145/3716553.3786365","title":"10.1145/3716553.3786365","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Component (thermodynamics); Session key; Attendance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001576418,0.002475265,0.002206665,0.00255014,0.002182313,0.004862343,0.002528232,0.0047883,0.9443479],"category_scores_gemma":[0.004400762,0.001542939,0.001134115,0.008575243,0.001308537,0.009606816,0.005006501,0.002273823,0.9696186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002097438,"about_ca_system_score_gemma":0.0009594273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01433786,"about_ca_topic_score_gemma":0.01053471,"domain_scores_codex":[0.9993423,0.00005922662,0.00006097662,0.0001855162,0.0002227616,0.0001292235],"domain_scores_gemma":[0.9983357,0.000401675,0.00008502811,0.0005953251,0.0003476564,0.0002347103],"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":[0.0002035426,0.0001419238,0.0004629965,0.0004170973,0.00003349598,0.0001691098,0.00007491894,0.000735309,0.0007742229,0.007570684,0.6955147,0.293902],"study_design_scores_gemma":[0.00003806127,0.0000275886,0.0007739599,0.0002481497,0.0000357779,0.0001197889,0.00006952535,0.001056033,0.0004485726,0.003000698,0.9941503,0.00003136932],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001917461,0.004335632,0.01314165,0.001872535,0.002206333,0.0003309964,0.01732922,0.0155276,0.9433386],"genre_scores_gemma":[0.004890004,0.002211578,0.002250794,0.0007712839,0.0001927423,0.0001858665,0.008832245,0.002150572,0.978515],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05565214,"threshold_uncertainty_score":0.07938093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177993355861628,"score_gpt":0.1523499178622614,"score_spread":0.1345505822760986,"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."}}