{"id":"W7153973342","doi":"10.1145/3772318.3809076","title":"10.1145/3772318.3809076","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); Attendance; 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":[0.001722968,0.002640309,0.002265737,0.002446098,0.002181628,0.004922919,0.002616242,0.004978382,0.9420846],"category_scores_gemma":[0.004134761,0.001596596,0.001111444,0.008846975,0.001464757,0.00951865,0.004792226,0.002462195,0.9664578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002089196,"about_ca_system_score_gemma":0.001083586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01501646,"about_ca_topic_score_gemma":0.01115941,"domain_scores_codex":[0.9993262,0.00005940924,0.00006131345,0.0001894811,0.0002223098,0.0001412156],"domain_scores_gemma":[0.9983883,0.0003823315,0.00007969938,0.0005807494,0.0003428807,0.0002260178],"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":[0.0002141862,0.0001564055,0.0005248812,0.0004562339,0.0000357877,0.0001864065,0.0000758988,0.0008118301,0.0008082865,0.008355098,0.6986181,0.289757],"study_design_scores_gemma":[0.00003970705,0.00002648324,0.0008233506,0.000260851,0.00003783717,0.0001237799,0.0000793688,0.001327103,0.0004922005,0.003252225,0.9935049,0.00003216679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002077524,0.004438596,0.01409095,0.002057274,0.002814476,0.0003396928,0.01879171,0.01513686,0.9402529],"genre_scores_gemma":[0.005354516,0.002316573,0.002357943,0.000782895,0.0001859026,0.0001900281,0.009139673,0.00207639,0.9775962],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05791545,"threshold_uncertainty_score":0.0826093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01770716324470348,"score_gpt":0.1528481627153201,"score_spread":0.1351409994706166,"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."}}