{"id":"W2801925897","doi":"10.24297/ijct.v12i9.2829","title":"Are We Really Preparing Preservice Teachers to Teach with Technology in the Classroom?","year":2014,"lang":"en","type":"article","venue":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Information and Communications Technology; Plan (archaeology); Mathematics education; Upgrade; Teacher education; Training (meteorology); Lesson plan; Professional development; Psychology; Pedagogy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005451182,0.0002159338,0.0003875223,0.0007244626,0.002108859,0.004613821,0.0008503943,0.003360275,0.003988691],"category_scores_gemma":[0.03098298,0.0003958106,0.0002554505,0.0007656895,0.00258969,0.006195579,0.001038348,0.002156129,0.002251491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157699,"about_ca_system_score_gemma":0.006559012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005424057,"about_ca_topic_score_gemma":0.00923789,"domain_scores_codex":[0.9975103,0.0007691121,0.0001641888,0.0002659611,0.0004809737,0.0008094273],"domain_scores_gemma":[0.9672118,0.005658319,0.01087282,0.001038008,0.004605632,0.01061332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001195451,0.00131635,0.7095639,0.001229711,0.00005936961,0.0009555187,0.04315073,0.0001849727,0.002485912,0.002742567,0.02676385,0.2114276],"study_design_scores_gemma":[0.0000651505,0.0009229776,0.6129372,0.001607719,0.00009788822,0.001934529,0.319982,0.0001931157,0.001475487,0.003203071,0.05747925,0.0001016421],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842234,0.007173597,0.0009567523,0.09857775,0.000725744,0.00008995364,0.0001456254,0.00008037642,0.008026777],"genre_scores_gemma":[0.9792222,0.007457479,0.001783954,0.007373568,0.0002669138,0.0001002532,0.0001598622,0.00001521521,0.003620492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005451182,"threshold_uncertainty_score":0.02882898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489805923797895,"score_gpt":0.3245354334097163,"score_spread":0.3096373741717374,"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."}}