{"id":"W1879240590","doi":"10.47678/cjhe.v32i1.183402","title":"When Faculty Use Instructional Technologies: Using Clark's Delivery Model to Understand Gender Differences","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Perspective (graphical); Process (computing); Exploratory research; Institution; Psychology; Emerging technologies; Medical education; Computer science; Pedagogy; Sociology; Social science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.005099448,0.0005163294,0.0002838295,0.003350083,0.001457577,0.004552726,0.001327378,0.00114975,0.005015657],"category_scores_gemma":[0.02518848,0.0003127008,0.0004556537,0.001856764,0.002497861,0.004895749,0.001927397,0.001086163,0.0004575621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008973246,"about_ca_system_score_gemma":0.005605397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0315516,"about_ca_topic_score_gemma":0.02374585,"domain_scores_codex":[0.9954666,0.002451304,0.0001689999,0.0004249582,0.001083639,0.0004044802],"domain_scores_gemma":[0.9882117,0.008191304,0.001262138,0.0003436533,0.001438214,0.0005529528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0007551859,0.001126653,0.1910642,0.0004403539,0.00007975109,0.0006916427,0.1431745,0.002854438,0.004219157,0.39991,0.007263975,0.2484202],"study_design_scores_gemma":[0.0005343951,0.002795757,0.2783741,0.0018331,0.0003335545,0.001551639,0.3239256,0.05858022,0.009628288,0.1824507,0.1396661,0.0003265692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7598398,0.001862897,0.08139851,0.01548222,0.000271931,0.001154125,0.0006100149,0.0002122792,0.1391682],"genre_scores_gemma":[0.9789459,0.0005637319,0.01476513,0.0005624452,0.0000169208,0.0006133619,0.00008711998,0.00003507005,0.004410314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9684484,"threshold_uncertainty_score":0.06510574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2287333469184196,"score_gpt":0.3406806910677754,"score_spread":0.1119473441493558,"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."}}