{"id":"W2913767200","doi":"10.1108/jpcc-07-2018-0020","title":"Looking for learning in teacher learning networks in Kenya","year":2019,"lang":"en","type":"article","venue":"Journal of Professional Capital and Community","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Originality; Context (archaeology); Professional learning community; Professional development; Resource (disambiguation); Focus group; Mathematics education; Psychology; Pedagogy; Qualitative research; Public relations; Medical education; Sociology; Computer science; Political science; Medicine; Social science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005180297,0.00008152526,0.0002277058,0.0001457497,0.0006153046,0.00003720431,0.0001927769,0.0001272311,0.000079887],"category_scores_gemma":[0.0005740615,0.00006780463,0.00006407324,0.0001619857,0.00006540557,0.0003358612,0.00009912614,0.003455008,0.000001810806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000763866,"about_ca_system_score_gemma":0.00024649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003194679,"about_ca_topic_score_gemma":0.0009612702,"domain_scores_codex":[0.997243,0.00189592,0.0003248423,0.00006371004,0.0002252939,0.0002472505],"domain_scores_gemma":[0.9986604,0.000862066,0.0002610561,0.0000491451,0.00009884262,0.00006848649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001946557,0.0003178144,0.9091023,0.00003775902,0.00001265168,0.000007327982,0.02960569,0.004391927,0.0001401851,0.001200589,0.0000416719,0.05494744],"study_design_scores_gemma":[0.003318122,0.001130718,0.4464059,0.001428626,0.00001941674,0.0000174561,0.4927635,0.006445159,0.00001196815,0.007327173,0.04073584,0.0003961225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961239,0.0004934777,0.00004710522,0.0007945847,0.0002815714,0.0001201333,1.613332e-7,0.000008056392,0.002131066],"genre_scores_gemma":[0.9957507,0.0001118982,0.0003125398,0.00004224358,0.0002131713,0.000002303274,0.000002320832,0.000008291868,0.00355648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4631578,"threshold_uncertainty_score":0.9988441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840608756722396,"score_gpt":0.3300077665011127,"score_spread":0.3116016789338887,"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."}}