{"id":"W7118024098","doi":"10.1145/3712285.3787190","title":"10.1145/3712285.3787190","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); State (computer science); Component (thermodynamics); Session key","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":[0.001554762,0.00248723,0.002342309,0.002484125,0.002060418,0.004749201,0.002790766,0.005227959,0.9443824],"category_scores_gemma":[0.004233786,0.001606188,0.001101334,0.008669902,0.001247815,0.009472009,0.004765705,0.002529118,0.9695632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002057736,"about_ca_system_score_gemma":0.0009423515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01425834,"about_ca_topic_score_gemma":0.01021579,"domain_scores_codex":[0.9993438,0.00005961176,0.0000569203,0.0001865977,0.0002204038,0.0001326396],"domain_scores_gemma":[0.9984593,0.0003821633,0.00008096371,0.0005533287,0.0003139564,0.000210281],"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":[0.0001858824,0.0001491628,0.0004376307,0.0004319103,0.00003344133,0.0001626436,0.00006664431,0.0006787423,0.000685495,0.006979487,0.6982074,0.2919815],"study_design_scores_gemma":[0.00003850872,0.00002539284,0.0007469941,0.0002643949,0.00003452646,0.0001199206,0.00006594787,0.001042049,0.0004319164,0.002748995,0.9944519,0.00002946546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001877176,0.005067045,0.01352988,0.002221438,0.002280667,0.0003549751,0.020285,0.01743332,0.9369504],"genre_scores_gemma":[0.005014897,0.002429039,0.0023107,0.0008471901,0.0002004773,0.0002079835,0.009506308,0.002103919,0.9773794],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05561757,"threshold_uncertainty_score":0.07933164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766348355355176,"score_gpt":0.1523823896716188,"score_spread":0.1347189061180671,"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."}}