{"id":"W2799656935","doi":"10.1002/minf.201800043","title":"Cheminformatics Driven Development of Novel Therapies for Drug Resistant Prostate Cancer","year":2018,"lang":"en","type":"review","venue":"Molecular Informatics","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Prevention of Organ Failure","funders":"Canadian Institutes of Health Research; Genome British Columbia; Prostate Cancer Canada","keywords":"Cheminformatics; Androgen receptor; Prostate cancer; Antiandrogens; Drug resistance; Computational biology; Drug development; Regulator; Drug; Chemistry; Pharmacology; Cancer; Cancer research; Bioinformatics; Medicine; Biology; Internal medicine; Biochemistry; Genetics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009064805,0.0004877223,0.001174507,0.0003143228,0.0001330353,0.0001934589,0.001656364,0.000151545,0.000002626914],"category_scores_gemma":[0.0001165849,0.0004016435,0.0004080754,0.0005700721,0.00009857118,0.0005156522,0.0006512172,0.0001884121,0.00001046244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002353099,"about_ca_system_score_gemma":0.00209249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001746055,"about_ca_topic_score_gemma":0.000002297392,"domain_scores_codex":[0.9965186,0.00003942318,0.002154458,0.0002027026,0.0006856956,0.0003991066],"domain_scores_gemma":[0.9966357,0.0003310057,0.001690912,0.000763967,0.0004817953,0.00009666725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000596976,0.00007074825,8.831019e-8,0.03794447,0.0004729285,7.317905e-7,0.01864938,0.001029826,0.000005725501,0.005652942,0.0007816024,0.9353856],"study_design_scores_gemma":[0.0003329676,0.00003067421,4.292127e-7,0.006210884,0.0001368378,0.000006214091,0.000113316,0.04946462,0.0004548074,0.0002934957,0.9424284,0.0005274189],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002781334,0.406438,0.5916602,0.00001511104,0.0002215628,0.001169199,0.0001058306,0.00004950698,0.0003127978],"genre_scores_gemma":[0.000002493261,0.2891875,0.7101366,0.00007493651,0.00002437823,0.00035795,0.0001127752,0.00003131257,0.00007212159],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9416468,"threshold_uncertainty_score":0.9998435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05123095418060562,"score_gpt":0.3599071691822451,"score_spread":0.3086762150016395,"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."}}