{"id":"W2920997529","doi":"10.17160/josha.6.3.546","title":"Can a Selection-Centric, Strengths-Based Approach to Cancer Treatment Help Treat or Prevent Cancer and Metastatic Disease?","year":2019,"lang":"en","type":"article","venue":"Journal of Science Humanities and Arts - JOSHA","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Selection (genetic algorithm); Cancer; Disease; Medicine; Cancer treatment; Intensive care medicine; Oncology; Computer science; Internal medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001012711,0.0001921678,0.0005425817,0.0002099299,0.0002854362,0.0002145736,0.0001687538,0.00002024568,0.0004882032],"category_scores_gemma":[0.002255124,0.0001147662,0.00007927131,0.0002501763,0.0004332128,0.0001763644,0.00004397345,0.0001163852,9.236787e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002683788,"about_ca_system_score_gemma":0.0006128657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001212358,"about_ca_topic_score_gemma":0.0001335726,"domain_scores_codex":[0.9981278,0.0001218854,0.0005888957,0.000292383,0.0005487935,0.0003202331],"domain_scores_gemma":[0.9962076,0.002721558,0.0003708167,0.0001335195,0.0002259838,0.0003405167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008651251,0.01587096,0.05202618,0.006573919,0.002285158,0.0004084352,0.03252972,0.006728551,0.004095585,0.3118248,0.02260046,0.536405],"study_design_scores_gemma":[0.04144908,0.02934423,0.04453766,0.009295115,0.01022239,0.0005708029,0.03324356,0.06045224,0.0159359,0.6845872,0.06461943,0.005742351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925088,0.0008769156,0.002150986,0.001770398,0.0006568063,0.001076489,0.0002502735,0.00001990817,0.000689441],"genre_scores_gemma":[0.7908789,0.001407201,0.1972089,0.001259369,0.0006993825,0.000172967,8.050216e-7,0.0000487488,0.008323719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5306626,"threshold_uncertainty_score":0.5345482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4253805844740858,"score_gpt":0.4992189614617724,"score_spread":0.07383837698768658,"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."}}