{"id":"W7154099558","doi":"10.1145/3772318.3808958","title":"10.1145/3772318.3808958","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); Domain (mathematical analysis); 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":[0.002149776,0.003412996,0.002589167,0.00313204,0.002627643,0.005710278,0.003107466,0.005092485,0.9456974],"category_scores_gemma":[0.003650804,0.001928076,0.001414729,0.01062385,0.00169752,0.01077568,0.00621742,0.00268513,0.9670066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002608698,"about_ca_system_score_gemma":0.001354444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01733853,"about_ca_topic_score_gemma":0.01247091,"domain_scores_codex":[0.9991001,0.00006194601,0.00007686636,0.0002665268,0.0003078295,0.0001867617],"domain_scores_gemma":[0.9979926,0.0004150968,0.00008741798,0.000670914,0.0004802094,0.0003537424],"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":[0.0002320711,0.0001740715,0.0004625568,0.0005788377,0.00004791355,0.0001978253,0.0001004348,0.0007163606,0.001246867,0.007145282,0.6779318,0.3111659],"study_design_scores_gemma":[0.00003624483,0.00002964343,0.0006845255,0.0002468401,0.00004591106,0.0001296593,0.00007173604,0.0008301587,0.0005102504,0.001685668,0.9956924,0.00003696231],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001986919,0.004683861,0.01355749,0.00150845,0.002478111,0.0004772217,0.01552002,0.0176615,0.9421265],"genre_scores_gemma":[0.003524455,0.002163505,0.002369623,0.0007113045,0.0001639443,0.0002165082,0.009345141,0.002250502,0.979255],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05430263,"threshold_uncertainty_score":0.07745612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0565759414967176,"score_gpt":0.296533057630833,"score_spread":0.2399571161341154,"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."}}