{"id":"W7125904909","doi":"10.1145/3768292.3793398","title":"10.1145/3768292.3793398","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Stock Market Forecasting Methods","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Generative model; Generative grammar; Term (time); 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":[0.001832035,0.002512907,0.002262902,0.002866277,0.001340775,0.00403657,0.002521682,0.004606608,0.9260904],"category_scores_gemma":[0.003613317,0.00174223,0.001339459,0.008564997,0.001152311,0.007095065,0.004170732,0.002559872,0.953415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001383154,"about_ca_system_score_gemma":0.0007711944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132058,"about_ca_topic_score_gemma":0.008680404,"domain_scores_codex":[0.9994555,0.00004823325,0.00005119217,0.0001476623,0.0002060838,0.00009120283],"domain_scores_gemma":[0.9983741,0.0004642064,0.00008420358,0.0005342776,0.0003413864,0.0002017544],"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":[0.0002326464,0.0001897192,0.0005944207,0.0005531387,0.00006021182,0.0001958248,0.00005654301,0.001381905,0.001106648,0.004852293,0.6342079,0.3565688],"study_design_scores_gemma":[0.00005973909,0.00004605822,0.001446254,0.000367319,0.00006609342,0.0001861402,0.00005397764,0.002848945,0.0008908494,0.002642592,0.9913535,0.00003851506],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003915568,0.01010257,0.03044011,0.002656267,0.003536876,0.0006988026,0.04848832,0.02823751,0.8719239],"genre_scores_gemma":[0.007148829,0.004307888,0.005133015,0.0009106533,0.0002661052,0.000315962,0.01781657,0.002496459,0.9616047],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07390964,"threshold_uncertainty_score":0.105423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06805266516315954,"score_gpt":0.3396635110768559,"score_spread":0.2716108459136964,"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."}}