{"id":"W1993971008","doi":"10.1097/mou.0b013e32835e9f07","title":"Lessons from in-vivo models of castration-resistant prostate cancer","year":2013,"lang":"en","type":"article","venue":"Current Opinion in Urology","topic":"Prostate Cancer Treatment and Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency; Vancouver General Hospital","funders":"Canadian Institutes of Health Research; BC Cancer Foundation; Prostate Cancer Canada","keywords":"Prostate cancer; Medicine; Androgen receptor; Antiandrogens; In vivo; Cancer research; Castration; Androgen; Androgen deprivation therapy; Bioinformatics; Cancer; Internal medicine; Hormone; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007948358,0.0001085771,0.0002615803,0.0001929863,0.00001705588,0.000006441484,0.00007163392,0.00007621801,0.0004755248],"category_scores_gemma":[0.00001690733,0.00008727181,0.00003667219,0.0001971799,0.0001071938,0.0001014653,0.00003681412,0.0002213018,0.00001257936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009834515,"about_ca_system_score_gemma":0.0002661609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002448099,"about_ca_topic_score_gemma":0.0002189654,"domain_scores_codex":[0.9989326,0.00006243527,0.0003177758,0.0002548346,0.0001566916,0.0002756843],"domain_scores_gemma":[0.9995224,0.00006462797,0.00007104061,0.0001724461,0.00009413771,0.0000753179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004051335,0.002859796,0.8153164,0.001394477,0.0002207242,0.00003058991,0.007915045,0.004347883,0.0596165,0.006248308,0.01887835,0.07912055],"study_design_scores_gemma":[0.02143461,0.001686003,0.884953,0.001384396,0.00007302255,0.000009527594,0.0007117384,0.03203753,0.00683591,0.02908655,0.02119504,0.0005926613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729006,0.01662835,0.00003118137,0.007454044,0.001321745,0.001013879,0.000157948,0.00001539418,0.0004767971],"genre_scores_gemma":[0.9933971,0.005813919,0.00004510387,0.00002560838,0.0001045195,0.0004143304,0.00009311386,0.00001094358,0.00009542999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0785279,"threshold_uncertainty_score":0.5206662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115276056062071,"score_gpt":0.410158332037455,"score_spread":0.2986307264312479,"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."}}