{"id":"W3018961790","doi":"10.2196/15877","title":"Current and Future Trends in Life Sciences Training: Questionnaire Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Education","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Status quo; Phone; Medical education; Perception; Psychology; Training (meteorology); Field (mathematics); Public relations; Political science; Medicine; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007770853,0.0003245516,0.0004870447,0.00197844,0.001137995,0.001454951,0.0006264321,0.001318399,0.005367159],"category_scores_gemma":[0.01238152,0.0005000722,0.0006300879,0.002024087,0.0006402676,0.002025668,0.001435648,0.001419238,0.001839241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605654,"about_ca_system_score_gemma":0.001791524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001861666,"about_ca_topic_score_gemma":0.002202346,"domain_scores_codex":[0.9966347,0.001265489,0.0004932379,0.0002610636,0.0005866071,0.0007589551],"domain_scores_gemma":[0.9903099,0.003251195,0.001986978,0.0002896911,0.002669359,0.001492986],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001964015,0.002104338,0.8376738,0.001559365,0.00007612673,0.0006795878,0.07535498,0.0008642474,0.002605802,0.001076799,0.01333564,0.06447293],"study_design_scores_gemma":[0.00006887713,0.002524375,0.7321362,0.0005556251,0.00003992789,0.0007950995,0.2046188,0.002516899,0.0008725559,0.0003639731,0.05540164,0.0001059921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895047,0.0002314017,0.001129635,0.001123363,0.00004855192,0.001395997,0.002622545,0.00003826134,0.003905651],"genre_scores_gemma":[0.9803494,0.00111156,0.005766051,0.002061631,0.00006972925,0.004400112,0.002254259,0.00003035165,0.003956793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9922292,"threshold_uncertainty_score":0.04109669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03344638400689701,"score_gpt":0.385921965090214,"score_spread":0.352475581083317,"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."}}