{"id":"W2995540612","doi":"10.21125/iceri.2019.0370","title":"EXPLORING NEW APPROACHES TO STUDENT TRANSFER IN THE PROVINCE OF ONTARIO","year":2019,"lang":"en","type":"article","venue":"ICERI proceedings","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Computer science; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002571919,0.0002477423,0.0004185538,0.002752444,0.009354524,0.004027142,0.001744342,0.0007064241,0.009421371],"category_scores_gemma":[0.009914147,0.0002129409,0.0003752997,0.00730645,0.002843742,0.00241283,0.004540276,0.00114977,0.0003872224],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08864836,"about_ca_system_score_gemma":0.09985549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9863613,"about_ca_topic_score_gemma":0.9935873,"domain_scores_codex":[0.9976287,0.0006589877,0.00006444357,0.0002095304,0.0004523165,0.0009860016],"domain_scores_gemma":[0.9949836,0.001502391,0.0004009519,0.0002555423,0.001711435,0.001146189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004589514,0.0003427975,0.4476843,0.0004048069,0.00008571777,0.001063142,0.2781417,0.002694283,0.0006839351,0.05881861,0.01321077,0.196411],"study_design_scores_gemma":[0.00004753841,0.0001052959,0.4131461,0.0003328903,0.00006607928,0.0001148216,0.5132048,0.005838874,0.0005333541,0.009909137,0.05664581,0.00005533017],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038883,0.000633293,0.003340356,0.005427067,0.00004560666,0.0002847585,0.0008795132,0.00005805609,0.08544305],"genre_scores_gemma":[0.9865121,0.0002813038,0.001037637,0.0001033122,0.000005638029,0.00008977651,0.0002365652,0.00001455224,0.0117191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9113516,"threshold_uncertainty_score":0.6431919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1611694485527139,"score_gpt":0.2420660212179353,"score_spread":0.08089657266522143,"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."}}