{"id":"W7118192950","doi":"10.1145/3731599.3787524","title":"10.1145/3731599.3787524","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); Orchestration; Key (lock); 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":[0.001950973,0.003350753,0.002560183,0.003477049,0.002600953,0.005622438,0.003224239,0.005248333,0.9341237],"category_scores_gemma":[0.004158994,0.002015024,0.001431523,0.01115552,0.001613814,0.01174319,0.006680914,0.002838122,0.9622152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002559881,"about_ca_system_score_gemma":0.001273882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01778509,"about_ca_topic_score_gemma":0.01246888,"domain_scores_codex":[0.999146,0.00006129245,0.00007393838,0.0002452488,0.000311943,0.0001615241],"domain_scores_gemma":[0.9980598,0.0004276961,0.00008937748,0.0006595039,0.000430351,0.000333294],"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":[0.0002006035,0.0001451817,0.0004058149,0.0005939452,0.00004658722,0.0001751669,0.00009246324,0.0006554216,0.001039076,0.006260769,0.7005962,0.2897888],"study_design_scores_gemma":[0.00003344312,0.00002834802,0.0007014276,0.0002669172,0.00004527444,0.0001378228,0.00006039146,0.0007368518,0.0004939162,0.001699339,0.9957611,0.0000351402],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002177604,0.007499554,0.01642742,0.001951931,0.002620292,0.0005764185,0.02613286,0.0232939,0.91932],"genre_scores_gemma":[0.004054296,0.003251343,0.002915551,0.0008628407,0.0002220901,0.0002727021,0.01528544,0.002992612,0.9701431],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06587631,"threshold_uncertainty_score":0.09396458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05635350964061919,"score_gpt":0.2969108281783467,"score_spread":0.2405573185377275,"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."}}