{"id":"W2512697712","doi":"10.1016/j.fertnstert.2015.07.254","title":"Disparities in oncofertility knowledge among Canadian breast cancer surgeons","year":2015,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Mount Sinai Hospital; Health Sciences Centre; CReATe Fertility Centre; University of Toronto","funders":"","keywords":"Oncofertility; Medicine; Referral; Fertility preservation; Family medicine; Fertility; Breast cancer; Knowledge translation; Intervention (counseling); Gynecology; Cancer; Population; Internal medicine; Nursing; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00127985,0.000209527,0.0003340505,0.002268098,0.004066289,0.001757609,0.001326774,0.0009739766,0.01229639],"category_scores_gemma":[0.00978906,0.0002952615,0.0005187587,0.005854261,0.0009980752,0.0007402276,0.001413798,0.001366514,0.0003856106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02579244,"about_ca_system_score_gemma":0.06355011,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9837087,"about_ca_topic_score_gemma":0.9936766,"domain_scores_codex":[0.9973524,0.0001722682,0.000131907,0.000175381,0.0008134847,0.001354714],"domain_scores_gemma":[0.9914913,0.001213186,0.001623742,0.0001514897,0.002522285,0.002998014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000949151,0.0001308891,0.9626245,0.0001143979,0.00006452444,0.0001767918,0.00573726,0.0001471586,0.0001184082,0.001230175,0.01405501,0.01550603],"study_design_scores_gemma":[0.00001806124,0.00002455051,0.9759113,0.0003039932,0.00003732164,0.0001119728,0.01402213,0.0002173186,0.00005483409,0.0002807933,0.008989125,0.00002857529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9428595,0.002935884,0.0001055706,0.0161574,0.0001726737,0.0000604849,0.005409962,0.00001523128,0.03228328],"genre_scores_gemma":[0.9938256,0.001385002,0.0001156302,0.001386985,0.00003992822,0.0000179828,0.000994508,0.000006708286,0.002227805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02579244,"threshold_uncertainty_score":0.1871381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04822083829309496,"score_gpt":0.3038219008088033,"score_spread":0.2556010625157084,"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."}}