{"id":"W4254994248","doi":"10.1093/jnci/djj324","title":"RESPONSE","year":2006,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Estrogen and related hormone effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Kingston General Hospital; Ontario Institute for Cancer Research","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001015644,0.0007629581,0.0003875245,0.001155137,0.001454575,0.002269584,0.001115414,0.004980745,0.4671449],"category_scores_gemma":[0.00627833,0.0002709626,0.0006256168,0.000430013,0.0004632498,0.0009425365,0.001981261,0.002845092,0.2305891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179859,"about_ca_system_score_gemma":0.001934542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002498472,"about_ca_topic_score_gemma":0.006572398,"domain_scores_codex":[0.9989434,0.0001514553,0.00004986808,0.0001716842,0.0005090062,0.0001746706],"domain_scores_gemma":[0.9957936,0.0005865879,0.0001733317,0.0002603467,0.001917526,0.001268641],"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":[0.00003455672,0.00001874821,0.0002367546,0.00003675128,0.000001604939,0.00004812366,0.00001338915,0.000006808912,0.0001451054,0.0002974736,0.9905915,0.008569272],"study_design_scores_gemma":[0.00001695982,0.00001894508,0.0009742575,0.00003697189,0.000002649275,0.00004903747,0.00008515266,0.00001503326,0.0001127954,0.0002170407,0.998466,0.000005307403],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.002847707,0.001786088,0.0007809209,0.2685173,0.264654,0.0007753638,0.005832051,0.001166355,0.4536403],"genre_scores_gemma":[0.003664909,0.0004863772,0.0002275514,0.0707132,0.01337499,0.0001656607,0.00118304,0.0001176859,0.9100666],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4671449,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124660423219972,"score_gpt":0.2901595764913241,"score_spread":0.2776935341693269,"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."}}