{"id":"W2781072074","doi":"10.17975/sfj-2017-019","title":"Student-Run Journals: Where science students can become scientists","year":2017,"lang":"en","type":"article","venue":"STEM Fellowship Journal","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Computer science; Psychology; Data 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01230585,0.00149746,0.001003967,0.003531934,0.01052852,0.02585585,0.002686308,0.009281416,0.2037519],"category_scores_gemma":[0.03151887,0.0009299921,0.0008754351,0.002935563,0.004881408,0.021608,0.01953022,0.009291757,0.08422866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557801,"about_ca_system_score_gemma":0.01725595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005018129,"about_ca_topic_score_gemma":0.005171157,"domain_scores_codex":[0.9931189,0.002250901,0.0003648708,0.0005987707,0.002028221,0.001638356],"domain_scores_gemma":[0.8324241,0.005501546,0.005071542,0.003616928,0.01461669,0.1387692],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002217748,0.0003958841,0.004013096,0.0003046354,0.00001959545,0.0004936467,0.001958753,0.0000410282,0.001371091,0.01458877,0.8866278,0.08996392],"study_design_scores_gemma":[0.00007643837,0.000179489,0.004074723,0.0002782237,0.00001527336,0.0003500817,0.004420137,0.00005138411,0.0007310666,0.01816336,0.9716071,0.00005268287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02699734,0.01913743,0.01107824,0.4211066,0.1759166,0.0004950431,0.002371214,0.006755062,0.3361425],"genre_scores_gemma":[0.1627876,0.009163903,0.02095478,0.1071736,0.097911,0.0006547428,0.002190502,0.004616151,0.5945477],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9876941,"threshold_uncertainty_score":0.6816181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04052526188647044,"score_gpt":0.3836400743540629,"score_spread":0.3431148124675925,"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."}}