{"id":"W7125952468","doi":"10.1145/3757377.3794979","title":"10.1145/3757377.3794979","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); Graphics; Computer graphics; Vector graphics; 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":[0.001426793,0.002399668,0.002068478,0.002315805,0.001936131,0.004381606,0.002453832,0.004480987,0.929919],"category_scores_gemma":[0.004020878,0.001339284,0.001023351,0.007995423,0.001270889,0.008482905,0.004206836,0.002255456,0.95625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002122881,"about_ca_system_score_gemma":0.00112694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02172941,"about_ca_topic_score_gemma":0.01673839,"domain_scores_codex":[0.9993875,0.0000551733,0.00005625935,0.0001731788,0.000209281,0.0001185761],"domain_scores_gemma":[0.9986364,0.0003321348,0.00006941531,0.0004735675,0.0003057173,0.0001827471],"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":[0.000180902,0.0001153016,0.0004417324,0.0003612088,0.00003025065,0.0001345216,0.00005746365,0.0008127547,0.000618954,0.006548161,0.7165983,0.2741005],"study_design_scores_gemma":[0.00003348669,0.00001835084,0.0007169869,0.0002249109,0.00003176337,0.00009686443,0.00006197632,0.001214684,0.0003651878,0.002925005,0.9942876,0.0000232393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002112918,0.005651772,0.01473376,0.002639971,0.002880577,0.0003373745,0.02360522,0.0144948,0.9335437],"genre_scores_gemma":[0.005673325,0.002798041,0.002513873,0.0008225316,0.0002061493,0.0001704069,0.01100604,0.001884252,0.9749254],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.070081,"threshold_uncertainty_score":0.09996194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777539900023125,"score_gpt":0.1523302944625361,"score_spread":0.1345548954623048,"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."}}