{"id":"W2810461715","doi":"10.6000/1929-2279.2018.07.03.3","title":"Poor Science; Poorly Trained Scientists; Poor Policies: Major Deterrents to the War on Cancer","year":2018,"lang":"en","type":"article","venue":"Journal of cancer research updates","topic":"Science, Research, and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute","keywords":"Identification (biology); Political science; Engineering ethics; Genomics; Environmental ethics; Biology; Engineering; Genetics; Genome; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009520213,0.000223886,0.0004725312,0.002204266,0.001166056,0.0002528655,0.00183439,0.00006807566,0.001340127],"category_scores_gemma":[0.00312178,0.0001180682,0.0001545162,0.004792191,0.004020085,0.0004558269,0.0002946929,0.001024139,0.0001726855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030023,"about_ca_system_score_gemma":0.005068573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003078578,"about_ca_topic_score_gemma":0.001685759,"domain_scores_codex":[0.9905359,0.0001919277,0.0006121236,0.0005082146,0.006516285,0.001635574],"domain_scores_gemma":[0.9927089,0.0002557452,0.0002058684,0.0005565275,0.004728835,0.001544073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004417044,0.0005521344,0.01850492,0.0001285912,0.0002380919,0.0002221569,0.008361964,0.00001977372,0.4574232,0.0003500767,0.3622024,0.1475796],"study_design_scores_gemma":[0.006258196,0.01035979,0.126648,0.0024124,0.0001374053,0.0003209247,0.006022679,0.0005907236,0.3467233,0.0003680936,0.4997711,0.0003873465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.903711,0.00174716,0.00002880396,0.08895817,0.001570255,0.0007604536,0.00003501579,0.00001620213,0.00317298],"genre_scores_gemma":[0.9837506,0.001033807,0.0001961672,0.006629036,0.004151488,0.00005803621,0.000001176889,0.00003025365,0.004149374],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1471923,"threshold_uncertainty_score":0.9995728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09830602514557304,"score_gpt":0.5039195216815296,"score_spread":0.4056134965359566,"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."}}