{"id":"W7096229300","doi":"","title":"Supported in part by grants from the Canadian Breast Cancer Research Alli-","year":2008,"lang":"en","type":"article","venue":"","topic":"Breast Cancer Treatment Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breast cancer; MEDLINE; Government (linguistics); Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001748115,0.0007585873,0.0009959418,0.001457648,0.001478253,0.0008883635,0.001117132,0.0007321805,0.1778958],"category_scores_gemma":[0.005292919,0.0002751553,0.0006008412,0.001017569,0.0006320053,0.0004794537,0.001126251,0.001498332,0.02722981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007250947,"about_ca_system_score_gemma":0.01706604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3611005,"about_ca_topic_score_gemma":0.5573593,"domain_scores_codex":[0.9987288,0.0001590785,0.00003411725,0.0001130398,0.000721052,0.0002438798],"domain_scores_gemma":[0.9942682,0.0006262675,0.0001212927,0.000198425,0.002423742,0.002362082],"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":[0.002702812,0.0004478114,0.0061613,0.0008573779,0.0001687215,0.0008406949,0.000695285,0.0007396328,0.01863881,0.01201418,0.7834675,0.1732659],"study_design_scores_gemma":[0.0009946567,0.0008036131,0.03432054,0.0004449254,0.0001861217,0.001387165,0.0006656433,0.001039706,0.006210916,0.002203615,0.9516791,0.00006401078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06176501,0.03025717,0.004718325,0.07154525,0.01071673,0.002829412,0.1106952,0.001336721,0.7061362],"genre_scores_gemma":[0.2869084,0.01956165,0.01408748,0.005260052,0.00191568,0.0005308944,0.05614373,0.0006079141,0.6149842],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8221042,"threshold_uncertainty_score":0.7179973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04231724275350663,"score_gpt":0.3142804050895637,"score_spread":0.2719631623360571,"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."}}