{"id":"W7117449336","doi":"10.1145/3716553.3786366","title":"10.1145/3716553.3786366","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); Graduate students; Attendance; Component (thermodynamics)","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":[0.001629047,0.002585921,0.002303004,0.002562462,0.002316851,0.004926784,0.002594705,0.004975356,0.9474507],"category_scores_gemma":[0.004223205,0.001623187,0.001148903,0.008862128,0.001394098,0.009774401,0.005118226,0.002360377,0.9711901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134389,"about_ca_system_score_gemma":0.0009859918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01492201,"about_ca_topic_score_gemma":0.01089098,"domain_scores_codex":[0.9993254,0.00005968547,0.0000617984,0.0001962072,0.0002219012,0.0001349698],"domain_scores_gemma":[0.9983563,0.0003871174,0.00008473422,0.0005925159,0.00033937,0.0002399399],"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":[0.0002079031,0.0001502795,0.000487749,0.0004345984,0.00003452721,0.0001806378,0.00008020333,0.0007280692,0.0008039175,0.007474247,0.6960151,0.2934027],"study_design_scores_gemma":[0.00003963023,0.00002948536,0.000823679,0.0002676979,0.00003785714,0.0001276151,0.00007441532,0.001061937,0.0004632298,0.002872034,0.9941685,0.00003401398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001994237,0.00432036,0.01250887,0.0018164,0.0022625,0.0003442665,0.01725905,0.01558212,0.9439122],"genre_scores_gemma":[0.004942224,0.002224544,0.002226062,0.0008161062,0.0001879504,0.0001940755,0.008692686,0.002153776,0.9785625],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0525493,"threshold_uncertainty_score":0.07495522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784146126730264,"score_gpt":0.1520723865895195,"score_spread":0.1342309253222169,"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."}}