{"id":"W7134383156","doi":"","title":"October 2014","year":2014,"lang":"","type":"article","venue":"CSUSB ScholarWorks (California State University, San Bernardino)","topic":"Legal Cases and Commentary","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Real estate; Administration (probate law); Plan (archaeology); Estate","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001473188,0.001251974,0.001532511,0.0007740622,0.001490909,0.0005189364,0.001432499,0.0006408583,0.009696554],"category_scores_gemma":[0.0002285125,0.001359338,0.001163449,0.00110427,0.0006678166,0.001202723,0.001704861,0.003240512,0.009952044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001308664,"about_ca_system_score_gemma":0.0003486517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149464,"about_ca_topic_score_gemma":0.0001604245,"domain_scores_codex":[0.992606,0.001036537,0.0009870433,0.001766705,0.001495487,0.00210821],"domain_scores_gemma":[0.9941549,0.0004872207,0.000616451,0.002042954,0.0005608604,0.002137613],"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":[0.006671583,0.002263614,0.2643926,0.0008115597,0.002879186,0.004145422,0.00129676,0.001176568,0.002399824,0.003046931,0.6257194,0.08519649],"study_design_scores_gemma":[0.009311729,0.0009207887,0.02389898,0.0008221921,0.001927047,0.0002721573,0.001369903,0.002610666,0.0003885011,0.0004469551,0.9563617,0.001669373],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8696567,0.004962469,0.0151257,0.01138117,0.004624036,0.002001554,0.002449148,0.0006291706,0.08917],"genre_scores_gemma":[0.967723,0.003959316,0.001182932,0.005215213,0.001682411,0.000002654241,0.000460828,0.0002315097,0.01954219],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3306423,"threshold_uncertainty_score":0.999809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007783617829983606,"score_gpt":0.2108859904299803,"score_spread":0.2031023725999967,"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."}}