{"id":"W7154099029","doi":"10.1145/3772318.3808883","title":"10.1145/3772318.3808883","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Component (thermodynamics); Training (meteorology); 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":[0.002124885,0.003354442,0.002458949,0.003044273,0.002602305,0.005634816,0.002896908,0.005175,0.9522097],"category_scores_gemma":[0.003560972,0.00193721,0.001354358,0.01014728,0.001678873,0.01030733,0.005869051,0.002591405,0.9717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002430057,"about_ca_system_score_gemma":0.001277479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01642999,"about_ca_topic_score_gemma":0.0117978,"domain_scores_codex":[0.9991542,0.00005663884,0.00007223605,0.0002543204,0.000280356,0.0001823099],"domain_scores_gemma":[0.9980563,0.0004033465,0.00008581517,0.0006220828,0.00046923,0.0003632546],"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":[0.0002316761,0.0001770066,0.0004723877,0.0005522239,0.00004448042,0.0001934475,0.00009464942,0.0006480787,0.00127078,0.006426191,0.6763129,0.3135762],"study_design_scores_gemma":[0.00003824585,0.00003134159,0.0007219805,0.0002488813,0.00004393259,0.0001297035,0.00007543386,0.0008287946,0.0004983656,0.001556008,0.9957908,0.00003655338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001811029,0.00390697,0.01163379,0.001368794,0.00220072,0.0004474106,0.01260218,0.015621,0.9504081],"genre_scores_gemma":[0.003063067,0.001805227,0.002055655,0.0006398364,0.0001428999,0.0001968368,0.00746058,0.001808504,0.9828273],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04779035,"threshold_uncertainty_score":0.06816715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05616565417802354,"score_gpt":0.2962007869271551,"score_spread":0.2400351327491316,"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."}}