{"id":"W2132890484","doi":"10.1155/2012/697357","title":"Patterns of Beliefs, Attitudes, and Characteristics of Teachers That Influence Computer Integration","year":2012,"lang":"en","type":"article","venue":"Education Research International","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Technology integration; Mathematics education; Computer technology; Sample (material); Diversity (politics); Psychology; Computer science; Pedagogy; Teaching method; Multimedia; Sociology","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":[0.001429775,0.00004240932,0.0000709755,0.0001874965,0.00009818574,0.0000369573,0.0001806469,0.00004666289,0.0002442476],"category_scores_gemma":[0.000455258,0.00004110763,0.00001894801,0.0001045023,0.000140373,0.0003927146,0.00005326437,0.0001888754,0.000007147398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008139246,"about_ca_system_score_gemma":0.0004224023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001527547,"about_ca_topic_score_gemma":0.000150728,"domain_scores_codex":[0.9987886,0.0002147702,0.0001642924,0.00008843541,0.0005889787,0.0001549123],"domain_scores_gemma":[0.9989921,0.0001873994,0.0001105387,0.00007292182,0.0005556449,0.00008133159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004322595,0.0002068918,0.8552256,0.00001464806,0.00001275885,3.600153e-8,0.007537612,7.883821e-7,0.0005832625,0.02123435,0.0004662674,0.1147134],"study_design_scores_gemma":[0.0000625454,0.00002431177,0.950917,0.000087721,0.000001887545,4.45986e-7,0.004152304,0.00002263864,0.0007508568,0.00009042496,0.0438449,0.00004493677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956056,0.00005147162,0.0004358407,0.001828854,0.0004412867,0.0001010355,0.00001532117,0.000007357808,0.001513221],"genre_scores_gemma":[0.9956671,0.0001576562,0.002196968,0.00003060927,0.0005920508,0.000009565543,0.00005680877,0.000004048476,0.001285189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1146685,"threshold_uncertainty_score":0.267434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05905722209729988,"score_gpt":0.451310188119291,"score_spread":0.3922529660219911,"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."}}