{"id":"W3132539521","doi":"10.1080/14636778.2021.1883501","title":"Organizing precision oncology: introduction to the special issue","year":2021,"lang":"en","type":"article","venue":"New Genetics and Society","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Institut National Du Cancer","keywords":"Precision oncology; Engineering ethics; Data science; Computer science; Medicine; Precision medicine; Engineering; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004751388,0.001870527,0.001597399,0.004452282,0.004000645,0.01082907,0.002019142,0.00644949,0.02465403],"category_scores_gemma":[0.01035065,0.0007766374,0.001581025,0.00281711,0.003447684,0.006937672,0.005238116,0.0130196,0.0104584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004348035,"about_ca_system_score_gemma":0.004301596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001689542,"about_ca_topic_score_gemma":0.003303578,"domain_scores_codex":[0.9970376,0.0007430529,0.0003371088,0.0004399442,0.001045109,0.0003972365],"domain_scores_gemma":[0.9880863,0.005373433,0.0007867758,0.0005097038,0.002777137,0.002466626],"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":[0.00001556799,0.00002808888,0.0001682854,0.0002844736,0.000008869852,0.00006122281,0.0001433371,0.00007150597,0.0001072285,0.004337671,0.9739552,0.02081856],"study_design_scores_gemma":[0.000005153871,0.00002392408,0.0004596034,0.0004234453,0.000005780855,0.0001291322,0.0001588418,0.00005023008,0.00003762537,0.003419405,0.995277,0.000009812824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003284166,0.04250672,0.001496567,0.1149011,0.825332,0.00006627441,0.0001789931,0.0001118888,0.01507804],"genre_scores_gemma":[0.001980138,0.02596724,0.0006193212,0.03161879,0.9247397,0.0001053894,0.0002247373,0.0001217689,0.0146228],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02465403,"threshold_uncertainty_score":0.08247596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02724569623871471,"score_gpt":0.3452241333549534,"score_spread":0.3179784371162387,"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."}}