{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004073099,0.0004752897,0.0006033595,0.000139564,0.00308127,0.0001632614,0.0003532009,0.0002671542,0.002370438],"category_scores_gemma":[0.00008496675,0.0004597147,0.0003314829,0.0002112312,0.0005526887,0.0003427669,0.00006976901,0.0006619631,0.0004367362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005813386,"about_ca_system_score_gemma":0.0001766575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01608881,"about_ca_topic_score_gemma":0.007913557,"domain_scores_codex":[0.9968073,0.0001601239,0.0006562042,0.0008393896,0.0005912211,0.0009457359],"domain_scores_gemma":[0.9983811,0.00007161286,0.0002361451,0.0006015162,0.0003938086,0.0003158105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000190629,0.001268945,0.002688875,0.000248144,0.0002404978,0.00003987379,0.6203791,0.000006467199,0.00001975447,0.05627128,0.2689338,0.04971258],"study_design_scores_gemma":[0.0004985618,0.0010616,0.018711,0.00003720363,0.00005650952,0.00001090389,0.009247253,0.0000164405,0.000001607367,0.002424325,0.9673741,0.0005605367],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3988236,0.09850452,0.00009376468,0.03029727,0.02643878,0.001810107,0.0009774392,0.0008035646,0.4422509],"genre_scores_gemma":[0.9044932,0.005519073,0.00001378976,0.002947111,0.008843368,0.00001571041,0.00001533229,0.00003539452,0.078117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6984402,"threshold_uncertainty_score":0.9997855,"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."}}