{"id":"W7118254911","doi":"10.1145/3725843.3786387","title":"10.1145/3725843.3786387","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); Microarchitecture; Component (thermodynamics); Key (lock)","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":[0.001719557,0.002846862,0.002593403,0.002682996,0.00224096,0.005184774,0.002974334,0.005762511,0.9480649],"category_scores_gemma":[0.004380105,0.001827743,0.00124759,0.009313258,0.001453576,0.01060577,0.005405182,0.002742278,0.9715398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002157315,"about_ca_system_score_gemma":0.001001572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01441911,"about_ca_topic_score_gemma":0.009801177,"domain_scores_codex":[0.9992872,0.00006453432,0.00006578751,0.0002120805,0.0002289311,0.0001414833],"domain_scores_gemma":[0.9983531,0.000428567,0.00008944092,0.0005734281,0.000318828,0.0002366214],"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":[0.0002069159,0.0001585074,0.0004707809,0.0005141554,0.00004070787,0.0001751339,0.00007886672,0.000765253,0.0007408592,0.007319298,0.7055054,0.2840241],"study_design_scores_gemma":[0.00004566236,0.00003107832,0.0008065676,0.0003103217,0.00004215995,0.0001365515,0.00007775277,0.001102347,0.0004600128,0.00308385,0.9938684,0.00003533716],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00199635,0.005529901,0.01424225,0.002207751,0.002541681,0.0003917367,0.02027758,0.01733113,0.9354815],"genre_scores_gemma":[0.005063638,0.002710357,0.002687886,0.0009502905,0.0002131845,0.0002400175,0.01005045,0.002389363,0.9756948],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05193514,"threshold_uncertainty_score":0.07407916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01780278843066777,"score_gpt":0.1523470284432916,"score_spread":0.1345442400126239,"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."}}