{"id":"W2795840518","doi":"10.4103/efh.efh_354_14","title":"Academics anonymous: A medical student's 12-step guide to scholarly productivity","year":2017,"lang":"en","type":"article","venue":"Education for Health","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Mentorship; Productivity; Medical writing; Medical education; Academic medicine; Public relations; Sociology; Psychology; Political science; Medicine; Economics; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007455035,0.0001396805,0.0003695028,0.0001696172,0.0007614561,0.000134039,0.0004436902,0.0002061758,0.0001486724],"category_scores_gemma":[0.1745355,0.0001172868,0.00006247937,0.0001084804,0.0001055427,0.0004235587,0.0001027719,0.0008487174,0.0001210755],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008886863,"about_ca_system_score_gemma":0.06399645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008461488,"about_ca_topic_score_gemma":0.0002347426,"domain_scores_codex":[0.9963384,0.0001167388,0.0005062659,0.000438051,0.001477022,0.001123548],"domain_scores_gemma":[0.9853826,0.0001829258,0.0002198447,0.0009144802,0.0005182503,0.01278196],"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":[0.000148008,0.0005630805,0.0125587,0.0005292371,0.00001172051,0.000001502011,0.0005302719,3.203216e-8,0.00003499605,0.0005465416,0.6262279,0.3588481],"study_design_scores_gemma":[0.001084484,0.0009089415,0.1009704,0.0004310572,0.000008368183,0.00002938066,0.0002733259,0.00001899122,0.00005826552,0.00007717055,0.896054,0.00008560414],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1061222,0.0004654445,0.003054152,0.8799245,0.001703528,0.003570554,0.00002525177,0.00006808319,0.005066264],"genre_scores_gemma":[0.5057681,0.00153644,0.02540839,0.4085535,0.01048524,0.001391829,0.0002032867,0.0001189973,0.04653422],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.4713711,"threshold_uncertainty_score":0.9413098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2003204841403882,"score_gpt":0.5885510948573959,"score_spread":0.3882306107170077,"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."}}