{"id":"W7118185187","doi":"10.1145/3731599.3787543","title":"10.1145/3731599.3787543","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Resource (disambiguation); 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":[0.002429716,0.002880121,0.00222527,0.003335788,0.002259549,0.005286367,0.002948661,0.004982821,0.9362529],"category_scores_gemma":[0.00511192,0.001819001,0.00130812,0.01070105,0.001492616,0.01069686,0.006339357,0.002469252,0.9634862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002525091,"about_ca_system_score_gemma":0.001218536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01727833,"about_ca_topic_score_gemma":0.01177008,"domain_scores_codex":[0.9991122,0.00007003747,0.00008029231,0.0002483866,0.0003320285,0.0001570848],"domain_scores_gemma":[0.9975101,0.0006347416,0.0001181019,0.0008171787,0.000526113,0.0003938026],"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":[0.0002002119,0.0001441414,0.0004657114,0.0005483382,0.00004422757,0.0001625123,0.00009895719,0.0006314992,0.0009135263,0.006314845,0.6732053,0.3172708],"study_design_scores_gemma":[0.00003109857,0.00002602822,0.0007044393,0.0002515925,0.00003848953,0.0001290893,0.00006312977,0.0006861746,0.0004331582,0.001464871,0.996142,0.00002992652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002122019,0.006326007,0.01628944,0.002091968,0.002239834,0.0004873949,0.02140861,0.01940338,0.9296315],"genre_scores_gemma":[0.004166848,0.002851412,0.003032725,0.0007995462,0.0001921486,0.0002337031,0.01158412,0.002511936,0.9746276],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06374711,"threshold_uncertainty_score":0.09092754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07682765995816798,"score_gpt":0.3232557826531851,"score_spread":0.2464281226950171,"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."}}