{"id":"W4310506179","doi":"10.1145/3563767.3568130","title":"Data Science Pedagogy to Support Industry, Governmental, and Research Initiatives","year":2022,"lang":"en","type":"article","venue":"","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Undergraduate research; Workflow; Best practice; Computer science; Engineering ethics; Research data; Public relations; Medical education; Political science; Data science; Engineering; Data curation","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":[0.01531892,0.0009332222,0.0007596898,0.002560281,0.005678891,0.01250551,0.00414924,0.003457801,0.0279164],"category_scores_gemma":[0.02323537,0.0005999726,0.0008429061,0.002555223,0.003881878,0.01140082,0.01509586,0.008963453,0.01367803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003989083,"about_ca_system_score_gemma":0.02092372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009654936,"about_ca_topic_score_gemma":0.003268993,"domain_scores_codex":[0.9905763,0.00466574,0.0003943431,0.0009754237,0.002333553,0.001054785],"domain_scores_gemma":[0.9712574,0.009365724,0.001353962,0.002991379,0.003584315,0.01144717],"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":[0.0001009849,0.008595075,0.01043318,0.001642878,0.00003668578,0.0007492526,0.09870952,0.001201651,0.006381978,0.191496,0.2276826,0.4529702],"study_design_scores_gemma":[0.00007314453,0.0003880883,0.003004896,0.000871529,0.00001697115,0.0005748979,0.03631731,0.001547961,0.002085705,0.1508339,0.8042464,0.00003925561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1379275,0.004371292,0.3012246,0.2118084,0.004670182,0.003662521,0.0008546798,0.003966712,0.3315141],"genre_scores_gemma":[0.3009502,0.006763578,0.5019616,0.03401168,0.001919562,0.004346739,0.00129433,0.001154884,0.1475975],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0279164,"threshold_uncertainty_score":0.09338969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.400714454604234,"score_gpt":0.4740151723919703,"score_spread":0.07330071778773622,"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."}}