{"id":"W7094093158","doi":"","title":"ANNUAL INDEX","year":2009,"lang":"","type":"article","venue":"Insecta mundi","topic":"Historical Studies on Reproduction, Gender, Health, and Societal Changes","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Index (typography); Supreme court; Biography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006396893,0.001018395,0.0009769957,0.002728153,0.001856408,0.006862497,0.001817667,0.001720584,0.7939605],"category_scores_gemma":[0.003342505,0.0004303698,0.0006617554,0.00320185,0.0004856766,0.00429439,0.002757878,0.002026415,0.742182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001920994,"about_ca_system_score_gemma":0.002631349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005284406,"about_ca_topic_score_gemma":0.008067736,"domain_scores_codex":[0.9990803,0.0000828276,0.0000554186,0.0001900358,0.0004691393,0.0001223248],"domain_scores_gemma":[0.9983929,0.0001298796,0.00006186456,0.0002205543,0.000824364,0.0003704851],"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":[0.000008592864,0.00001227925,0.00007089438,0.0001001874,0.000001282826,0.00002088937,0.00002859198,0.00002093974,0.00006933128,0.002991589,0.9524311,0.04424424],"study_design_scores_gemma":[0.000001277174,0.000003004713,0.0001275788,0.0000425162,4.498415e-7,0.00001472513,0.00002516838,0.000008425463,0.00001191691,0.0003096016,0.9994536,0.000001619639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002645795,0.003913517,0.0005124486,0.003444426,0.009629997,0.0001462016,0.006392527,0.0008545247,0.9748418],"genre_scores_gemma":[0.001190576,0.002469851,0.0003078796,0.0008401151,0.001518386,0.00007551091,0.003102846,0.0003330898,0.9901615],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2060395,"threshold_uncertainty_score":0.2938903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04853024201381678,"score_gpt":0.2719570236236586,"score_spread":0.2234267816098418,"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."}}