{"id":"W2054651787","doi":"10.15572/enco2014.04","title":"The potential and pitfalls of editions in educational contexts","year":2014,"lang":"en","type":"article","venue":"Encounters in Theory and History of Education","topic":"Educator Training and Historical Pedagogy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.03340821,0.0005178627,0.0005471418,0.006246514,0.01541605,0.02695762,0.00231731,0.002525381,0.004878921],"category_scores_gemma":[0.07502721,0.00105436,0.0005537104,0.006159069,0.06328105,0.02514868,0.01960847,0.005534577,0.0007447302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004751272,"about_ca_system_score_gemma":0.003202788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00237114,"about_ca_topic_score_gemma":0.005660335,"domain_scores_codex":[0.9662086,0.02403677,0.001499225,0.002694173,0.004426106,0.001135121],"domain_scores_gemma":[0.8935912,0.0792615,0.003860207,0.01861452,0.003355943,0.001316571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005122602,0.00002473233,0.002901533,0.0001513885,0.00001333936,0.0008435789,0.4355327,0.0001788762,0.0004748101,0.5227235,0.001989774,0.0351145],"study_design_scores_gemma":[0.00003669342,0.00008393938,0.00511257,0.001442972,0.00006371854,0.002534783,0.2839145,0.0007384965,0.003242401,0.3465081,0.356227,0.00009483634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4171739,0.0145307,0.03970554,0.03906835,0.001551205,0.0001241692,0.00015584,0.0004347769,0.4872555],"genre_scores_gemma":[0.9802585,0.001444052,0.004616794,0.0006805353,0.000504477,0.00003992198,0.00002516551,0.0002274364,0.01220317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03340821,"threshold_uncertainty_score":0.1766816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803619431808406,"score_gpt":0.3234380112262198,"score_spread":0.3054018169081358,"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."}}