{"id":"W4406653022","doi":"10.1016/b978-0-7506-5642-9.50013-6","title":"10.1016/b978-0-7506-5642-9.50013-6","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":[0.001306655,0.002196135,0.001624596,0.002009107,0.001348793,0.005455804,0.003158436,0.004926298,0.9806721],"category_scores_gemma":[0.002774309,0.0009637856,0.0008482893,0.002396038,0.001263831,0.006444413,0.003382229,0.002517496,0.9907121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110657,"about_ca_system_score_gemma":0.0009687283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003090854,"about_ca_topic_score_gemma":0.002890844,"domain_scores_codex":[0.9993316,0.00004955194,0.00004813675,0.0002420407,0.0002193998,0.0001092203],"domain_scores_gemma":[0.9976429,0.0008073766,0.0001908235,0.0003997766,0.0004117108,0.0005472319],"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":[0.0001216577,0.0001245286,0.0004113661,0.0003866949,0.00001666306,0.0001012465,0.00007525015,0.0004544755,0.001654705,0.007639681,0.3734841,0.6155297],"study_design_scores_gemma":[0.00001947255,0.00004051529,0.0005027562,0.0002883688,0.000009529741,0.0001799765,0.00008701959,0.0002236512,0.0003580415,0.002162408,0.9961123,0.00001599393],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002176229,0.0005022477,0.002026249,0.0004615743,0.0001790467,0.00006137061,0.001311836,0.00177195,0.9934681],"genre_scores_gemma":[0.0007581782,0.0003062569,0.0007253858,0.000161469,0.00004328255,0.00004952281,0.0007287877,0.0003739433,0.9968533],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01932794,"threshold_uncertainty_score":0.02756894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225005353483926,"score_gpt":0.1547221150959963,"score_spread":0.1322215797476037,"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."}}