{"id":"W2269209417","doi":"","title":"Designing for Persistence from the Margins","year":2013,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Persistence (discontinuity); Computer science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004656579,0.0006847036,0.0003957377,0.0006952885,0.003015144,0.007333552,0.001624611,0.001771805,0.01329734],"category_scores_gemma":[0.02531319,0.0007431612,0.000630891,0.0003997785,0.002905326,0.0157354,0.00796588,0.002976026,0.003389298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009597231,"about_ca_system_score_gemma":0.002238133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009221722,"about_ca_topic_score_gemma":0.001008443,"domain_scores_codex":[0.996528,0.001425324,0.0001933768,0.000705502,0.000611919,0.000535946],"domain_scores_gemma":[0.9857224,0.006409986,0.0007390305,0.004010779,0.002039174,0.001078634],"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":[0.0003222343,0.0005627841,0.01402104,0.0008041668,0.00008434989,0.0008968379,0.08408423,0.005836642,0.02703531,0.4176921,0.02037027,0.42829],"study_design_scores_gemma":[0.0001343018,0.0007907487,0.003400126,0.001007217,0.0002432083,0.00110692,0.04887295,0.03276291,0.02507715,0.4267962,0.4596828,0.0001256315],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09115891,0.0004645863,0.8164868,0.006733752,0.00034535,0.0003194743,0.00006699316,0.003972995,0.08045109],"genre_scores_gemma":[0.8034509,0.0002530567,0.1715294,0.001110389,0.00007614693,0.0004733636,0.0001372731,0.00192493,0.02104454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01329734,"threshold_uncertainty_score":0.04448408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1048658825664378,"score_gpt":0.3090059224490599,"score_spread":0.2041400398826221,"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."}}