{"id":"W2010398607","doi":"10.1503/cmaj.1040532","title":"Treatment of locally advanced breast cancer","year":2004,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","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; Medicine; Modality (human–computer interaction); Treatment modality; Clinical Practice; Oncology; Cancer; Medical physics; Internal medicine; Computer science; Family medicine; Artificial intelligence","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":[0.0006921791,0.00027169,0.0006512593,0.0003538659,0.0008638268,0.000467646,0.0005465794,0.003988111,0.005038288],"category_scores_gemma":[0.002663765,0.0001055312,0.0005362335,0.0004669947,0.0006019977,0.0004965478,0.0004473492,0.003665685,0.002849344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658513,"about_ca_system_score_gemma":0.001117202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001851493,"about_ca_topic_score_gemma":0.009617488,"domain_scores_codex":[0.9993796,0.0001951572,0.00005090738,0.00005451615,0.0002223832,0.00009732393],"domain_scores_gemma":[0.9994529,0.0002275615,0.00007871743,0.00003362036,0.00007649095,0.0001306686],"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":[0.0003596857,0.0001216093,0.005500447,0.0006784353,0.00003062137,0.02558989,0.0001189355,0.0002500613,0.002653703,0.00526466,0.7991069,0.160325],"study_design_scores_gemma":[0.0002760597,0.0003632518,0.01026498,0.000872852,0.00003834909,0.06422211,0.0001318889,0.0003794928,0.0008728579,0.005512429,0.9170371,0.00002866642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.01169872,0.08898693,0.001507521,0.7819763,0.0265783,0.0002112439,0.0003944116,0.0001252474,0.08852125],"genre_scores_gemma":[0.12544,0.07194356,0.002024976,0.6763073,0.06282979,0.0003107244,0.0007019385,0.00004773132,0.0603941],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.005038288,"threshold_uncertainty_score":0.01685476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004428208303934455,"score_gpt":0.2328598295268419,"score_spread":0.2284316212229075,"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."}}