{"id":"W7079535379","doi":"10.26108/jpvq-x384","title":"Integrating information and communication technology into curriculum: a case study in Atlantic Canada","year":2011,"lang":"en","type":"article","venue":"AcadiaU-DEV","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information and Communications Technology; Technology integration; Curriculum; Perception; Qualitative research; Inclusion (mineral); Information technology; Leverage (statistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002325705,0.0004659173,0.0005536122,0.001664213,0.02620785,0.005251177,0.002802582,0.002124622,0.002557314],"category_scores_gemma":[0.005939673,0.0005290928,0.0003148147,0.004789868,0.004545628,0.001363801,0.003856389,0.002488608,0.0002979156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08513789,"about_ca_system_score_gemma":0.1271751,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9791775,"about_ca_topic_score_gemma":0.9944141,"domain_scores_codex":[0.9955474,0.0009308642,0.0001264493,0.0002587975,0.001179816,0.001956759],"domain_scores_gemma":[0.9950073,0.0009436759,0.0002809799,0.0001480211,0.001155502,0.002464422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001512396,0.001231317,0.07084008,0.0003028002,0.00002601622,0.02821016,0.8103354,0.001200925,0.003388715,0.008429646,0.006156551,0.06972719],"study_design_scores_gemma":[0.00001842576,0.0001794957,0.03484834,0.0002147569,0.00002666785,0.001413518,0.895276,0.001027207,0.001021256,0.0004176246,0.06550565,0.00005108913],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826891,0.0002964299,0.0007117788,0.002325679,0.00004090211,0.0001856072,0.00008970749,0.00001654888,0.01364422],"genre_scores_gemma":[0.9870325,0.0007068585,0.001725968,0.0005717238,0.00001123611,0.00005774399,0.00006856431,0.00001935244,0.009806101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08513789,"threshold_uncertainty_score":0.6177215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133077091859106,"score_gpt":0.2183497146033834,"score_spread":0.2070189436847923,"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."}}