{"id":"W4406669931","doi":"10.1016/b978-0-08-092864-7.50005-x","title":"10.1016/b978-0-08-092864-7.50005-x","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":"Natural language processing; Computer science; Linguistics; History; Philosophy","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":[0.001191658,0.001910517,0.001489128,0.001778981,0.001173163,0.005200011,0.00276665,0.00425853,0.9770592],"category_scores_gemma":[0.002592328,0.0008215385,0.0007670355,0.002277917,0.001190278,0.005664972,0.003124577,0.002345758,0.9888129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005998,"about_ca_system_score_gemma":0.0009627458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002739536,"about_ca_topic_score_gemma":0.002656356,"domain_scores_codex":[0.9994293,0.00004979,0.00004099689,0.000189914,0.0001939803,0.00009609243],"domain_scores_gemma":[0.9977515,0.0007687642,0.0001868578,0.000411875,0.0003514842,0.0005295289],"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":[0.0001099967,0.0001114673,0.000411222,0.000329811,0.00001518474,0.0000857701,0.00006835815,0.0004152997,0.001437536,0.009252572,0.3595551,0.6282076],"study_design_scores_gemma":[0.00001914578,0.00003900566,0.0005617007,0.0002350022,0.000008692986,0.0001697306,0.00006746408,0.0002109525,0.0003182106,0.002470478,0.995885,0.00001469818],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002410428,0.0005266728,0.002071518,0.0005391607,0.0001918522,0.00005636953,0.001347613,0.001755948,0.9932699],"genre_scores_gemma":[0.0008405848,0.0003076664,0.0007839286,0.0001713978,0.00004736779,0.00004574771,0.0007459514,0.0003999168,0.9966574],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02294081,"threshold_uncertainty_score":0.03272229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227486007730078,"score_gpt":0.1560244362033706,"score_spread":0.1337495761260698,"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."}}