{"id":"W4313638700","doi":"10.1002/9781119898566.index","title":"Index","year":2023,"lang":"ro","type":"paratext","venue":"","topic":"History of Science and Medicine","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Index (typography); Library science; History; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005746484,0.001039194,0.0009177619,0.007284862,0.002976201,0.007315922,0.001340545,0.002074039,0.878024],"category_scores_gemma":[0.005053044,0.0003945265,0.0004581218,0.007219317,0.0008302602,0.003350984,0.002305666,0.001723291,0.7878303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002584661,"about_ca_system_score_gemma":0.002941871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009881609,"about_ca_topic_score_gemma":0.01917863,"domain_scores_codex":[0.9993078,0.00009575885,0.00003020154,0.00007751519,0.0004152472,0.0000734537],"domain_scores_gemma":[0.9972588,0.0004505512,0.000107727,0.0002266012,0.001183121,0.0007732355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001116832,0.00002113872,0.00008283209,0.00009131504,8.998098e-7,0.00001198934,0.0000236468,0.0000243772,0.0000558613,0.003173281,0.960045,0.03645845],"study_design_scores_gemma":[0.000007176078,0.000008320681,0.0002998964,0.0001117073,0.00000170545,0.00001804236,0.00005495962,0.00004074106,0.00004383932,0.001494391,0.9979151,0.000004095065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001738213,0.0006837217,0.0003115567,0.001258991,0.00250123,0.0001185805,0.004974352,0.0005165636,0.9894611],"genre_scores_gemma":[0.0004557179,0.0003966844,0.000119699,0.0002790925,0.0005252368,0.0000419295,0.001528163,0.0001327194,0.9965208],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.121976,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06622046882399352,"score_gpt":0.2769493606417163,"score_spread":0.2107288918177228,"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."}}