{"id":"W7118187350","doi":"10.1145/3731599.3787525","title":"10.1145/3731599.3787525","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); Correctness; Software; 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":[0.001876703,0.003269037,0.002500335,0.0033779,0.002585607,0.005548409,0.003153402,0.005202858,0.9322542],"category_scores_gemma":[0.004160495,0.001921156,0.001401908,0.01089549,0.00159713,0.01145731,0.00648885,0.002782997,0.961062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002561551,"about_ca_system_score_gemma":0.001271375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0183853,"about_ca_topic_score_gemma":0.01271867,"domain_scores_codex":[0.9991603,0.00006077645,0.00007336256,0.0002376909,0.0003060469,0.0001619245],"domain_scores_gemma":[0.9981229,0.0004106643,0.00008617897,0.0006480773,0.0004165259,0.0003156971],"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":[0.0002067035,0.000143944,0.0004061615,0.0005920688,0.00004581775,0.0001732111,0.0000921518,0.0006744977,0.00104752,0.006595476,0.6909117,0.2991108],"study_design_scores_gemma":[0.00003352912,0.00002800939,0.0006971701,0.0002629309,0.00004493283,0.0001356788,0.00006020175,0.0007723537,0.0005281667,0.00185454,0.9955474,0.00003504307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0021433,0.007123055,0.01708562,0.001916695,0.00256669,0.0005718829,0.02570333,0.02406851,0.918821],"genre_scores_gemma":[0.004219553,0.00310968,0.002929784,0.0008212798,0.0002127031,0.0002706641,0.0152215,0.003049316,0.9701656],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0677458,"threshold_uncertainty_score":0.09663111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05539052934673663,"score_gpt":0.2964861523795562,"score_spread":0.2410956230328195,"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."}}