{"id":"W2898517844","doi":"10.1111/jcal.12322","title":"Digital divide in quantitative methods: <scp>T</scp>he effects of computer‐assisted instruction and students' attitudes on knowledge acquisition","year":2018,"lang":"en","type":"article","venue":"Journal of Computer Assisted Learning","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; American Sociological Association","keywords":"Quantitative analysis (chemistry); Mathematics education; Computer-Assisted Instruction; Curriculum; Computer science; Quantitative research; Knowledge acquisition; Point (geometry); Teaching method; Sample (material); Statistical analysis; Psychology; Pedagogy; Knowledge management; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001756239,0.0002093035,0.0006110301,0.0005520845,0.0001149193,0.0001737275,0.0002225911,0.0001115846,0.000005191886],"category_scores_gemma":[0.002909485,0.0001793096,0.0001115245,0.0003412025,0.0001707991,0.000259977,0.0001357193,0.0004731431,0.000004396255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047617,"about_ca_system_score_gemma":0.00006628787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001859346,"about_ca_topic_score_gemma":0.000002466655,"domain_scores_codex":[0.9969426,0.00150476,0.0007941083,0.0002143897,0.0003448918,0.0001992679],"domain_scores_gemma":[0.9844487,0.01370107,0.00108504,0.000134892,0.0005369833,0.0000933165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002613334,0.002167778,0.1082571,0.001441652,0.001103094,0.00005664182,0.02823974,0.0003766649,0.003060423,0.006112181,0.00338704,0.8455364],"study_design_scores_gemma":[0.002884271,0.003302682,0.9784588,0.002146296,0.0001663795,0.0002050996,0.00122172,0.003124509,0.002184373,0.005098124,0.001044809,0.0001629783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5045671,0.0001065486,0.4939629,0.00001938211,0.001062568,0.00010433,0.000001446235,0.00002088288,0.000154862],"genre_scores_gemma":[0.4804139,0.00002044421,0.5191059,0.00002486747,0.0003291014,0.000002332046,0.000002702707,0.00001797329,0.00008287693],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8702017,"threshold_uncertainty_score":0.7312033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024225282182685,"score_gpt":0.4533838388320678,"score_spread":0.3509613106137993,"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."}}