{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003966666,0.00009003222,0.0001046324,0.0000858381,0.00006192088,0.00002290301,0.0001901498,0.0001157271,0.00008177791],"category_scores_gemma":[0.0006803287,0.00007126154,0.0000237254,0.0002847035,0.000230397,0.000005560375,0.00008090724,0.0001778547,0.00000546622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008896843,"about_ca_system_score_gemma":0.001020402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009546736,"about_ca_topic_score_gemma":0.00003361483,"domain_scores_codex":[0.998786,0.00006919594,0.000230859,0.0002479158,0.0004763253,0.0001896874],"domain_scores_gemma":[0.9992928,0.000006730047,0.00004026458,0.00008944611,0.00004490509,0.0005258482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002883007,0.0005165832,0.02209304,0.00005258564,0.000007048711,7.163009e-7,0.004805808,3.127078e-7,0.0001743006,0.00006133666,0.01397987,0.9582796],"study_design_scores_gemma":[0.002202932,0.003152151,0.5639012,0.0001353873,0.00001642219,0.00001145275,0.0313208,0.002043232,0.0001986917,0.0001457835,0.3964071,0.0004648446],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9663264,0.002528476,0.00005345984,0.02992469,0.0004361489,0.0002258999,0.000001891494,0.00001004883,0.0004930217],"genre_scores_gemma":[0.9960039,0.0007857351,0.00008707229,0.001507394,0.001489346,0.00004932305,0.0000441828,0.000004748109,0.00002835309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9578147,"threshold_uncertainty_score":0.2905961,"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."}}