{"id":"W4406471958","doi":"10.1016/0967-0653(95)91929-x","title":"10.1016/0967-0653(95)91929-x","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business; Economics","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":[0.001293261,0.003331255,0.002168184,0.003317035,0.003373807,0.004807192,0.00389725,0.006786338,0.9909718],"category_scores_gemma":[0.00238418,0.001265702,0.001567056,0.003155873,0.002872747,0.007842855,0.003941389,0.003230873,0.9942611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424365,"about_ca_system_score_gemma":0.001182048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006483624,"about_ca_topic_score_gemma":0.005693944,"domain_scores_codex":[0.9991657,0.00006147021,0.0000811625,0.0002889273,0.0002120272,0.0001908191],"domain_scores_gemma":[0.9971807,0.0007803363,0.0001640417,0.0003639588,0.0005812147,0.0009297781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003499404,0.0002675558,0.001058566,0.00070764,0.00003925227,0.0003145179,0.0001522462,0.0004543221,0.001654777,0.005388858,0.4784711,0.5111412],"study_design_scores_gemma":[0.00006743621,0.00013144,0.001008533,0.0004662742,0.00001744583,0.0003642203,0.0002055927,0.0002008617,0.0003061753,0.000893763,0.9963045,0.00003369517],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004265352,0.0003805608,0.0004651997,0.0004439632,0.0002889902,0.0001210087,0.0007718736,0.0008232242,0.9962787],"genre_scores_gemma":[0.0006584849,0.0002388374,0.0003319792,0.0003410457,0.00007070045,0.0000750176,0.0004602185,0.0001805826,0.9976432],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009028196,"threshold_uncertainty_score":0.01289177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229914363107675,"score_gpt":0.2061305631983778,"score_spread":0.1831391268876103,"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."}}