{"id":"W2209382646","doi":"10.12691/education-3-12b-9","title":"Best Practices in Implementation of Technology Change in the K-12 Context","year":2015,"lang":"en","type":"article","venue":"American Journal of Educational Research","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Implementation; Excellence; Context (archaeology); Computer science; Mathematics education; Pedagogy; Public relations; Engineering management; Political science; Sociology; Psychology; Engineering; Software engineering","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":[0.03066211,0.0005845549,0.0005248099,0.00375931,0.01200138,0.01725704,0.002802603,0.003178618,0.001458463],"category_scores_gemma":[0.07979763,0.00090433,0.0007356604,0.003889629,0.01202694,0.008914888,0.009780084,0.004568432,0.0004860295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01290907,"about_ca_system_score_gemma":0.02654487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01929477,"about_ca_topic_score_gemma":0.03698799,"domain_scores_codex":[0.9011477,0.06816036,0.005384635,0.005357554,0.01265722,0.007292463],"domain_scores_gemma":[0.9439486,0.02445039,0.007564807,0.008146041,0.01142516,0.004465029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007237017,0.000857227,0.05837639,0.00110861,0.0001307911,0.001397744,0.628639,0.00157116,0.002810577,0.02793176,0.003706883,0.2733975],"study_design_scores_gemma":[0.00005736595,0.0005187885,0.05247776,0.003282817,0.0001187764,0.001026736,0.7934574,0.001525127,0.003553595,0.01744467,0.1263385,0.0001983933],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8279667,0.004645081,0.04655566,0.03397458,0.0003727476,0.0007473099,0.00005940845,0.0003894177,0.08528897],"genre_scores_gemma":[0.976827,0.001282952,0.01902588,0.0006854745,0.0000180808,0.0001258057,0.00002301396,0.0000561334,0.001955589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03066211,"threshold_uncertainty_score":0.1621587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.722114420592945,"score_gpt":0.6545758941880908,"score_spread":0.06753852640485414,"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."}}