{"id":"W4406494715","doi":"10.1016/0967-0653(95)92099-w","title":"10.1016/0967-0653(95)92099-w","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":[0.001319146,0.002824942,0.002135609,0.002858945,0.002565667,0.004366047,0.003472903,0.006208529,0.9892406],"category_scores_gemma":[0.002459546,0.001271443,0.001431044,0.00315373,0.002506047,0.007292711,0.00354263,0.003101364,0.9940158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148354,"about_ca_system_score_gemma":0.001059081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005469152,"about_ca_topic_score_gemma":0.004410632,"domain_scores_codex":[0.9992537,0.00006199266,0.0000710607,0.0002761678,0.0001782327,0.0001587684],"domain_scores_gemma":[0.9976383,0.0006760813,0.0001547806,0.0003443744,0.0004772405,0.0007092388],"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":[0.0003316595,0.0002281669,0.001024235,0.0005736517,0.00003859792,0.0002337307,0.0001042109,0.0004550357,0.001549685,0.00497102,0.4545372,0.5359528],"study_design_scores_gemma":[0.00007453907,0.0001183561,0.001176859,0.00045725,0.000020118,0.000338229,0.0001838155,0.0002532694,0.0003266086,0.001160805,0.9958579,0.00003223185],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005091878,0.000476362,0.0007429213,0.0006006903,0.0003412857,0.0001346894,0.001238811,0.00107985,0.9948762],"genre_scores_gemma":[0.0008614591,0.0003095147,0.0004955573,0.0004266919,0.00008352932,0.00008439949,0.0006419045,0.0002263106,0.9968706],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01075941,"threshold_uncertainty_score":0.015347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697068236171413,"score_gpt":0.1549923619917516,"score_spread":0.1380216796300375,"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."}}