{"id":"W2964383556","doi":"10.1126/science.365.6452.416","title":"Bringing machine learning to the masses","year":2019,"lang":"en","type":"article","venue":"Science","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007695836,0.0008171627,0.0009080928,0.002225069,0.001305596,0.007426671,0.001812654,0.002974669,0.01280105],"category_scores_gemma":[0.02795824,0.0006501616,0.0005124931,0.001007027,0.009007063,0.01606242,0.006824061,0.006299336,0.006682173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001277321,"about_ca_system_score_gemma":0.001625341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008304482,"about_ca_topic_score_gemma":0.0007237445,"domain_scores_codex":[0.9965784,0.001220078,0.000119688,0.0005323834,0.001337882,0.0002116059],"domain_scores_gemma":[0.9783855,0.01452415,0.0006281598,0.003421076,0.002193917,0.0008471811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001079052,0.0001396879,0.001087267,0.0004227541,0.00007513266,0.0001527683,0.001205824,0.004739443,0.002499287,0.6896653,0.03959615,0.2603086],"study_design_scores_gemma":[0.00002621822,0.00004088573,0.0002271728,0.000213674,0.00001190632,0.00006458684,0.0001557023,0.008504477,0.001134757,0.8574348,0.1321562,0.00002951049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.01737653,0.02660984,0.6452194,0.1556685,0.004561792,0.0001126802,0.0002572323,0.003415779,0.1467783],"genre_scores_gemma":[0.4288232,0.02734612,0.4253392,0.0209008,0.01708482,0.0003761515,0.0003883331,0.001836441,0.07790486],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01280105,"threshold_uncertainty_score":0.04282379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01178403370375122,"score_gpt":0.2869225088155536,"score_spread":0.2751384751118024,"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."}}