{"id":"W2923651708","doi":"","title":"The Elements of a High Quality Article: Publishing in the Canadian Journal of Science, Mathematics and Technology Education","year":2018,"lang":"en","type":"article","venue":"2019 Conference of the Canadian Society for the Study of Education","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Publishing; Context (archaeology); Relevance (law); Library science; Process (computing); Quality (philosophy); Political science; Engineering ethics; Computer science; Engineering; History; Epistemology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04907922,0.0009712253,0.001372492,0.008169004,0.03066219,0.0501874,0.003575967,0.006721639,0.02501742],"category_scores_gemma":[0.2124346,0.001185073,0.001128854,0.009648727,0.01434556,0.0109847,0.01133222,0.01212626,0.009012866],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03571329,"about_ca_system_score_gemma":0.2583804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2706829,"about_ca_topic_score_gemma":0.5374256,"domain_scores_codex":[0.8931118,0.0149793,0.006416884,0.002197981,0.07846066,0.004833278],"domain_scores_gemma":[0.592281,0.02467383,0.01171995,0.009581696,0.2944954,0.06724819],"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":[0.0001120883,0.0001079499,0.002340889,0.002014776,0.00007941095,0.0009109035,0.00986928,0.0001793295,0.002658475,0.03305847,0.8073754,0.1412929],"study_design_scores_gemma":[0.0000241424,0.00005110523,0.005330808,0.001116662,0.00006913864,0.0006597542,0.007847383,0.0001689218,0.0009759397,0.01129718,0.9722871,0.0001718315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.00754211,0.0148709,0.01558899,0.6220201,0.1782234,0.001644881,0.0006484571,0.001040629,0.1584206],"genre_scores_gemma":[0.3380668,0.04841571,0.145307,0.1471221,0.08583919,0.001834197,0.002462186,0.004168499,0.2267843],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9642867,"threshold_uncertainty_score":0.5382147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06227093475078453,"score_gpt":0.3084164908725442,"score_spread":0.2461455561217597,"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."}}