{"id":"W2612592664","doi":"10.15273/dmj.vol41no1.5434","title":"Instruction to authors","year":2014,"lang":"en","type":"article","venue":"Dalhousie Medical Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00188853,0.00009305701,0.0002652829,0.0002117194,0.0002277139,0.0001160021,0.000303187,0.00008350847,0.01390216],"category_scores_gemma":[0.0007483852,0.00009137378,0.00009196463,0.0001588935,0.00008030704,0.0001410928,0.0001047344,0.0002541431,0.01776788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000541729,"about_ca_system_score_gemma":0.00002143391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002130297,"about_ca_topic_score_gemma":0.000006273807,"domain_scores_codex":[0.9988381,0.00001656467,0.0004987153,0.0002512646,0.00009757579,0.0002978295],"domain_scores_gemma":[0.999176,0.00003002572,0.0001606107,0.0001520421,0.00002579124,0.0004555264],"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":[0.00002381902,0.0000762446,0.01356254,0.000009790316,0.000090138,0.00002220029,0.001663132,0.00008894088,0.000004017661,0.1637937,0.719269,0.1013965],"study_design_scores_gemma":[0.0004727792,0.00004344232,0.005245318,0.00001292668,0.000002652435,0.00008990755,0.0001589631,0.0008922135,0.000005208028,0.008822304,0.9841216,0.0001326377],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.288738,0.0002275824,0.0309574,0.007392869,0.02590972,0.0001181593,0.00005020325,0.00008139377,0.6465247],"genre_scores_gemma":[0.9108341,0.0002059917,0.00293772,0.005609725,0.003267751,0.000009030747,0.000004353338,0.00003583256,0.07709548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6220962,"threshold_uncertainty_score":0.9869993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531838311322114,"score_gpt":0.2225603482384776,"score_spread":0.1972419651252565,"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."}}