{"id":"W2597682691","doi":"","title":"放射線治療の進歩：高精度放射線治療；強度変調放射線治療を中心に","year":2011,"lang":"ja","type":"article","venue":"Pharma Medica","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":[0.001058187,0.000266774,0.0002253392,0.0006220378,0.002120642,0.002673396,0.000343167,0.0007249653,0.0163933],"category_scores_gemma":[0.002063413,0.0002277037,0.0002915668,0.0003772337,0.004293112,0.001531909,0.0007220199,0.001365062,0.005536756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765815,"about_ca_system_score_gemma":0.002311092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005783061,"about_ca_topic_score_gemma":0.004200451,"domain_scores_codex":[0.9991601,0.000105349,0.00005083381,0.0001735247,0.0004081611,0.0001020324],"domain_scores_gemma":[0.9985049,0.0004063037,0.0001551454,0.000169465,0.0005776915,0.0001866176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002152844,0.0001758233,0.007570106,0.000322517,0.00006172038,0.0007707866,0.005607852,0.001250983,0.03980958,0.7216437,0.01951599,0.2030557],"study_design_scores_gemma":[0.00005653023,0.0004182184,0.02593902,0.0001819888,0.000120945,0.002287511,0.007583506,0.002285542,0.1048015,0.2657115,0.590465,0.0001487206],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1279186,0.004238249,0.03567009,0.006968256,0.001351761,0.0001588451,0.0004060121,0.0003361086,0.8229521],"genre_scores_gemma":[0.7649613,0.003509041,0.02074435,0.001786265,0.0006925888,0.0001052388,0.0002311545,0.0001162176,0.2078537],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0163933,"threshold_uncertainty_score":0.05484104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03041070002375282,"score_gpt":0.251507951290536,"score_spread":0.2210972512667832,"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."}}