{"id":"W1500451357","doi":"","title":"Knowledge Building Technology and Literacy Learning in Canada's North","year":2002,"lang":"en","type":"article","venue":"Society for Information Technology & Teacher Education International Conference","topic":"Educator Training and Historical Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Acadia University","funders":"","keywords":"Literacy; Political science; Knowledge management; Computer science; Sociology; Pedagogy","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":[0.00100583,0.0002344655,0.0005164057,0.002330156,0.02199894,0.007186742,0.001159159,0.0009669879,0.01158566],"category_scores_gemma":[0.003416188,0.0003528775,0.0003585544,0.004661646,0.003042684,0.001807014,0.002912889,0.002336941,0.0006656551],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1480968,"about_ca_system_score_gemma":0.2493615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9985632,"about_ca_topic_score_gemma":0.9996692,"domain_scores_codex":[0.9979547,0.0001899941,0.00005010465,0.0001666637,0.0004960617,0.001142473],"domain_scores_gemma":[0.993804,0.0007903089,0.0002763524,0.00007603019,0.002179896,0.002873424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007565929,0.0005369697,0.2078668,0.0008044026,0.0000878757,0.00423795,0.1511461,0.001474845,0.001528736,0.1669006,0.09315679,0.3715024],"study_design_scores_gemma":[0.00009085105,0.0001207679,0.4751219,0.0009826522,0.00008545873,0.0005971289,0.1640896,0.001065502,0.001006373,0.007659683,0.3490421,0.0001379446],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7515705,0.009133078,0.0005650329,0.04376564,0.0002563527,0.00009711694,0.001293592,0.0001143105,0.1932044],"genre_scores_gemma":[0.9132045,0.003029472,0.0006048852,0.002193634,0.00002702415,0.00003143133,0.0002857621,0.00005010149,0.08057328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1480968,"threshold_uncertainty_score":0.9880869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04655157592482479,"score_gpt":0.3523105183876013,"score_spread":0.3057589424627765,"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."}}