{"id":"W4406503398","doi":"10.1016/0304-3908(79)90064-x","title":"10.1016/0304-3908(79)90064-x","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":"Index (typography); Computer science; World Wide Web","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":[0.001137284,0.002793562,0.001846883,0.002550465,0.002435325,0.003626315,0.003183198,0.005840055,0.9900298],"category_scores_gemma":[0.002323512,0.001114196,0.00121006,0.003306592,0.002347414,0.005862445,0.003043893,0.00276769,0.9939487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001359353,"about_ca_system_score_gemma":0.001176453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00619397,"about_ca_topic_score_gemma":0.004587003,"domain_scores_codex":[0.9992663,0.00005844075,0.00006266442,0.0002641649,0.00017534,0.0001730928],"domain_scores_gemma":[0.9977832,0.0006376823,0.0001649021,0.0003485451,0.000403351,0.0006623171],"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":[0.0003608415,0.0002718339,0.001328318,0.0005761344,0.00003746046,0.0003374823,0.0001398876,0.0006103709,0.001809411,0.007215161,0.455246,0.5320672],"study_design_scores_gemma":[0.00006801514,0.0001137667,0.001224065,0.0003769732,0.0000175269,0.0003596826,0.0001971852,0.0003535189,0.0004141017,0.001130208,0.995717,0.00002808939],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005719733,0.0003473182,0.0005776628,0.0005333793,0.0002773852,0.0001007894,0.001059833,0.0009346361,0.9955971],"genre_scores_gemma":[0.0009795084,0.0002059933,0.0003389654,0.0003484067,0.00006164131,0.00006201189,0.000486837,0.0001829115,0.9973338],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.009970248,"threshold_uncertainty_score":0.01422137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01626046566649821,"score_gpt":0.1485008591145762,"score_spread":0.132240393448078,"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."}}