{"id":"W7125937919","doi":"10.1145/3757377.3794964","title":"10.1145/3757377.3794964","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); Key (lock); Set (abstract data type)","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":[0.00153875,0.002555059,0.002198929,0.00239456,0.002003471,0.00462829,0.002588748,0.004930797,0.9337512],"category_scores_gemma":[0.004175043,0.001454922,0.00109623,0.00853137,0.00137238,0.008990628,0.004349393,0.00240557,0.9584137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002232632,"about_ca_system_score_gemma":0.00117945,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02303913,"about_ca_topic_score_gemma":0.01743725,"domain_scores_codex":[0.9993631,0.00005670841,0.00005919533,0.000182448,0.0002141233,0.0001244358],"domain_scores_gemma":[0.9985476,0.0003625305,0.00007554429,0.000498157,0.0003191867,0.0001970022],"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":[0.0001937781,0.0001240114,0.0004822716,0.0004084073,0.00003373205,0.0001479634,0.00006227262,0.0008922196,0.0006566673,0.006818549,0.7104498,0.2797303],"study_design_scores_gemma":[0.00003582383,0.00002042941,0.0007515374,0.0002413604,0.0000357208,0.0001021912,0.0000685554,0.001210304,0.0003766314,0.003046887,0.9940852,0.00002531586],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002101014,0.005944114,0.01427659,0.002665131,0.002872878,0.000345363,0.02440133,0.01452122,0.9328723],"genre_scores_gemma":[0.005713512,0.003002121,0.002547925,0.000864899,0.0002129141,0.0001839096,0.01122464,0.001913489,0.9743366],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06624877,"threshold_uncertainty_score":0.09449577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779876249787784,"score_gpt":0.1523574775621475,"score_spread":0.1345587150642696,"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."}}