{"id":"W4311008765","doi":"10.5753/sbie.2022.225018","title":"Teacher Profile and Factors Impacting Teacher Technology Use: A Practical Investigation","year":2022,"lang":"en","type":"article","venue":"Anais do XXXIII Simpósio Brasileiro de Informática na Educação (SBIE 2022)","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Canadian Bureau for International Education","keywords":"Maturity (psychological); Process (computing); Work (physics); Capability Maturity Model; Computer science; Knowledge management; Psychology; Mathematics education; Engineering; Software","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.003212669,0.0001863235,0.0004586326,0.001702921,0.001147483,0.001765528,0.0003037564,0.0004502832,0.002003448],"category_scores_gemma":[0.01887255,0.0003194803,0.0002451473,0.001269543,0.0004788561,0.001378268,0.0009292512,0.0005600185,0.0004382335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154279,"about_ca_system_score_gemma":0.001614148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006785701,"about_ca_topic_score_gemma":0.008891108,"domain_scores_codex":[0.996594,0.001784922,0.0003883965,0.0002671399,0.0006022864,0.000363206],"domain_scores_gemma":[0.9811122,0.01120441,0.003241659,0.0007681275,0.002426756,0.001246688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001993737,0.0004099212,0.9082738,0.0001185549,0.00001432008,0.0007148214,0.0662311,0.00007484548,0.001241012,0.0001433072,0.0001387165,0.02244034],"study_design_scores_gemma":[0.00001251421,0.0008296342,0.8049716,0.0001088699,0.00003507613,0.0009803235,0.188867,0.0004871875,0.00123197,0.0001103608,0.002339068,0.00002647233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988287,0.00007574876,0.0003401876,0.00005696703,0.000002126648,0.00002956183,0.0000353687,0.00000268703,0.0006287193],"genre_scores_gemma":[0.9993657,0.00009051862,0.0002218901,0.000007994302,0.000001898259,0.00002074629,0.00002449069,0.000001879652,0.0002648786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006785701,"threshold_uncertainty_score":0.01699048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04365350505971688,"score_gpt":0.3541400008384139,"score_spread":0.310486495778697,"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."}}