{"id":"W4406509002","doi":"10.1016/s0186-0216(09)89065-4","title":"10.1016/s0186-0216(09)89065-4","year":2000,"lang":"en","type":"book-chapter","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":"Materials 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":[0.001039734,0.00263151,0.001664611,0.002172581,0.001865606,0.004695171,0.003243471,0.005200771,0.9881113],"category_scores_gemma":[0.001966542,0.001095485,0.001194207,0.002709964,0.001627692,0.005417464,0.003304016,0.002608115,0.9928141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001255505,"about_ca_system_score_gemma":0.00142753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004018197,"about_ca_topic_score_gemma":0.004561424,"domain_scores_codex":[0.9993242,0.00005710432,0.00004835956,0.0002402859,0.0002100663,0.0001200056],"domain_scores_gemma":[0.9979548,0.0005652757,0.0001458823,0.000323251,0.0004413592,0.0005693861],"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":[0.0001652115,0.0001261422,0.0004596917,0.0003890682,0.00002002577,0.0001127244,0.00006459474,0.0003427819,0.001140105,0.006562448,0.4076475,0.5829697],"study_design_scores_gemma":[0.00003499436,0.00006582276,0.00046491,0.0002659869,0.000008809928,0.0001528959,0.00006672618,0.0001958338,0.000265272,0.0009720123,0.9974892,0.00001757237],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002143389,0.000331378,0.0007150233,0.0002873582,0.0002087881,0.00006436474,0.001008011,0.00105015,0.9961206],"genre_scores_gemma":[0.0003519893,0.0001343785,0.0002903914,0.0001166606,0.00004215712,0.0000358084,0.0004426363,0.0001798375,0.9984062],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01188874,"threshold_uncertainty_score":0.01695776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243058868001897,"score_gpt":0.149796555769527,"score_spread":0.127365967089508,"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."}}