{"id":"W3207319257","doi":"10.1145/3484272.3484964","title":"Machine learning pedagogy to support the research community","year":2021,"lang":"en","type":"article","venue":"","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Curriculum; Undergraduate research; Druggability; Open research; Competition (biology); Cloud computing; Ranking (information retrieval); Data science; Artificial intelligence; World Wide Web; Pedagogy; Medical education; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0134854,0.001842493,0.001003017,0.002815064,0.002867193,0.008838018,0.003957239,0.004052929,0.04969248],"category_scores_gemma":[0.02737834,0.0006512052,0.001256954,0.00147391,0.003182762,0.007452654,0.0109172,0.008528482,0.02667003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003010096,"about_ca_system_score_gemma":0.01158323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004527636,"about_ca_topic_score_gemma":0.001131055,"domain_scores_codex":[0.9925175,0.00285312,0.0005061917,0.001166409,0.001953408,0.001003441],"domain_scores_gemma":[0.9670084,0.006897858,0.001892425,0.003013045,0.00764938,0.01353895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001561479,0.004205967,0.005519349,0.001423725,0.00004915085,0.0005233312,0.009360013,0.003819489,0.01100126,0.1741183,0.32276,0.4670632],"study_design_scores_gemma":[0.00007430268,0.0005353353,0.001922381,0.0007411624,0.00002111705,0.0007185531,0.003225009,0.005704759,0.002644212,0.2005139,0.7838467,0.00005256147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03512644,0.006422162,0.5887421,0.1598513,0.01303492,0.002746249,0.0009659614,0.005680996,0.1874299],"genre_scores_gemma":[0.1324764,0.008165824,0.6437606,0.0436169,0.008751077,0.004633499,0.001738319,0.001745784,0.1551117],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04969248,"threshold_uncertainty_score":0.1662379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09304478429407548,"score_gpt":0.4160626501308896,"score_spread":0.3230178658368141,"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."}}