{"id":"W1509899265","doi":"","title":"Connecting Preservice Teachers With Children Using Blogs","year":2009,"lang":"en","type":"article","venue":"The Journal of Technology and Teacher Education","topic":"Digital Storytelling and Education","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics education; Psychology; Teacher education; Educational technology; Technology integration; Pedagogy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001275185,0.0004127098,0.0002477735,0.00102672,0.002170774,0.004102708,0.0008783106,0.001370959,0.01349077],"category_scores_gemma":[0.01044295,0.0003144736,0.0002860861,0.0006385892,0.001035128,0.005487794,0.00370315,0.001405702,0.00225586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000632885,"about_ca_system_score_gemma":0.0008385074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006069223,"about_ca_topic_score_gemma":0.002611299,"domain_scores_codex":[0.9988192,0.0006681627,0.00006720965,0.0001289866,0.0001781015,0.0001384141],"domain_scores_gemma":[0.989747,0.006867421,0.0008748011,0.0008414381,0.0004763544,0.00119303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006468139,0.001766953,0.1048595,0.001031096,0.00009783886,0.006104148,0.4349805,0.0003096897,0.00936226,0.006877627,0.04214254,0.3918209],"study_design_scores_gemma":[0.0001985994,0.0008217783,0.04191935,0.001050962,0.0002474565,0.00526061,0.5341481,0.001086662,0.006771442,0.00547033,0.4029093,0.0001153829],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882951,0.0009562661,0.01045346,0.004008224,0.0006660761,0.0002342244,0.0003850272,0.001199199,0.09914662],"genre_scores_gemma":[0.9609592,0.0007253848,0.007767776,0.0006713596,0.00009610524,0.0001479416,0.0002585633,0.0001626971,0.02921103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01349077,"threshold_uncertainty_score":0.04513109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03012912075451536,"score_gpt":0.373531939856679,"score_spread":0.3434028191021636,"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."}}