{"id":"W3152958830","doi":"","title":"X.泌尿器領域 3.前立腺癌に対する分子生物学的治療法の現状","year":2006,"lang":"ja","type":"article","venue":"Canadian parliamentary review","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Chemistry; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.002736251,0.0004586079,0.0003461447,0.001616914,0.005537042,0.0041875,0.001124072,0.005448887,0.01440865],"category_scores_gemma":[0.006050747,0.0003370095,0.0007249401,0.001259737,0.004428807,0.002213677,0.0009946853,0.003998924,0.004687623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009609107,"about_ca_system_score_gemma":0.01897399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.412888,"about_ca_topic_score_gemma":0.5288418,"domain_scores_codex":[0.9966705,0.0003583004,0.0001377278,0.0002672226,0.0017462,0.0008200713],"domain_scores_gemma":[0.9975436,0.0005973078,0.0001398071,0.00009249184,0.001497835,0.000128785],"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":[0.00009002521,0.00003010186,0.001020335,0.0007772395,0.000027649,0.0002349622,0.001993956,0.000184411,0.001020203,0.4299123,0.5177767,0.04693219],"study_design_scores_gemma":[0.00001477999,0.00003220915,0.004267796,0.0006287305,0.00002952477,0.00008874913,0.001031063,0.00005379612,0.0009231684,0.0148573,0.9780486,0.00002438273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006022039,0.1114598,0.001678781,0.1546183,0.008447198,0.0001706675,0.0007783097,0.00009219295,0.7167326],"genre_scores_gemma":[0.1122693,0.04696589,0.002909543,0.114465,0.002778432,0.0002281953,0.0003575327,0.00007271335,0.7199534],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.412888,"threshold_uncertainty_score":0.8209695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01096856361629969,"score_gpt":0.2103982507791879,"score_spread":0.1994296871628882,"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."}}