{"id":"W2349502933","doi":"10.22230/src.2016v7n1a233","title":"Designing a culture of co-learning: Mobilizing knowledge about KTT-KMb amongst graduate students","year":2016,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Reflective Practices in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Graduate students; Library science; Pedagogy; Sociology; Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01696105,0.00008409797,0.0001286186,0.0002242665,0.00217829,0.000659589,0.001009047,0.0001471989,0.00002823976],"category_scores_gemma":[0.01104966,0.00006288437,0.00003448559,0.000528782,0.001068159,0.00299368,0.0003305975,0.001070445,0.0000436141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002687183,"about_ca_system_score_gemma":0.0002936021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008798899,"about_ca_topic_score_gemma":0.0004125959,"domain_scores_codex":[0.9913198,0.006817853,0.0002408442,0.0002339184,0.001061357,0.0003262336],"domain_scores_gemma":[0.9953029,0.001929674,0.0001925171,0.0004823002,0.001951717,0.0001408514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001342594,0.0007256698,0.340747,0.00007028146,0.0001031291,9.059638e-7,0.3797258,0.000001491191,0.08377977,0.02216827,0.0009684518,0.171575],"study_design_scores_gemma":[0.001671732,0.0006468402,0.4864259,0.001480068,0.00004906536,0.000003361304,0.197393,0.00002282739,0.01936446,0.03527026,0.2571684,0.0005041579],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8869681,0.003844355,0.0002736778,0.001860252,0.0000864785,0.0005866341,0.000001461503,0.00005238765,0.1063266],"genre_scores_gemma":[0.9823212,0.01231939,0.001651995,0.000008401667,0.00006778874,0.00007770301,0.000004075766,0.00001204026,0.003537402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2562,"threshold_uncertainty_score":0.9991207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2069662460042186,"score_gpt":0.5391720153828715,"score_spread":0.3322057693786529,"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."}}