{"id":"W2414795222","doi":"10.1016/s0197-2510(11)70200-5","title":"10.1016/s0197-2510(11)70200-5","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":"Computer science","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":[0.001234384,0.002610236,0.002102177,0.002949014,0.002276227,0.004825745,0.003583984,0.006677984,0.9891506],"category_scores_gemma":[0.002227888,0.001107682,0.001414656,0.003483416,0.00200091,0.006145261,0.003554408,0.002976179,0.9937517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143946,"about_ca_system_score_gemma":0.001560683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004642811,"about_ca_topic_score_gemma":0.003621267,"domain_scores_codex":[0.9992047,0.00006355226,0.00006829531,0.0002686248,0.0002247123,0.0001700966],"domain_scores_gemma":[0.9979098,0.0005758329,0.0001712487,0.0002872704,0.0003939322,0.000661846],"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":[0.0002950696,0.0001980488,0.0008693322,0.0005317208,0.00003623869,0.0002041934,0.00009318843,0.0005290053,0.001486141,0.007285385,0.4053232,0.5831484],"study_design_scores_gemma":[0.00005311189,0.0000927513,0.0006410261,0.000340479,0.00001334738,0.0002104918,0.0001115714,0.0003079595,0.0003189584,0.0009494898,0.9969363,0.00002445013],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003517855,0.0003725907,0.0006756369,0.0004788284,0.0002941822,0.00008151112,0.001166799,0.001039353,0.9955392],"genre_scores_gemma":[0.0006411872,0.0001874935,0.0003459899,0.0002128783,0.00005976883,0.00005120189,0.0005141678,0.0001784572,0.997809],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01084936,"threshold_uncertainty_score":0.01547521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01633922047757684,"score_gpt":0.1502704812481571,"score_spread":0.1339312607705803,"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."}}