{"id":"W3128216218","doi":"10.26443/mjm.v7i2.393","title":"12 TIPS FOR POTENTIAL MJM AUTHORS","year":2020,"lang":"en","type":"article","venue":"McGill Journal of Medicine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine","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":[0.019934,0.0009855856,0.00154577,0.00292653,0.005073979,0.01167396,0.003008791,0.01892534,0.1996925],"category_scores_gemma":[0.1740702,0.0007719855,0.001616023,0.001612689,0.003036243,0.01089517,0.006263381,0.01599334,0.151167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003284867,"about_ca_system_score_gemma":0.01361234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002429952,"about_ca_topic_score_gemma":0.008240153,"domain_scores_codex":[0.9860647,0.004322049,0.001789589,0.001340647,0.004461945,0.002021193],"domain_scores_gemma":[0.8273239,0.02394332,0.006189559,0.009449072,0.0906516,0.04244254],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003184973,0.00001639233,0.0001498827,0.00008603314,0.00000307488,0.00008377827,0.00002928906,0.00001309552,0.00002030687,0.001667709,0.9782549,0.01964366],"study_design_scores_gemma":[0.00004623493,0.00001986731,0.0003470391,0.0007274824,0.000009719497,0.0002730622,0.0003509592,0.00005991079,0.00005675199,0.01007681,0.9880052,0.00002685313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.0002231778,0.006541674,0.001045502,0.6724919,0.2846001,0.00007733957,0.0004033346,0.0003243102,0.03429272],"genre_scores_gemma":[0.005530556,0.007698195,0.005902107,0.5799272,0.1971842,0.0005045611,0.0006255718,0.0006245801,0.2020031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.980066,"threshold_uncertainty_score":0.6680379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164730414384006,"score_gpt":0.2450174710782912,"score_spread":0.1285444296398907,"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."}}