{"id":"W3149851006","doi":"10.29173/iasl7846","title":"The Virtual Learning Commons","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Space (punctuation); Commons; World Wide Web; Download; Physical space; Computer science; Multimedia; Focus (optics); Mathematics education; Psychology; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004916185,0.0001562393,0.0001374286,0.00004488226,0.0007326123,0.001208618,0.00109395,0.00008042122,0.00004028774],"category_scores_gemma":[0.0009557237,0.000126404,0.00005522434,0.0005195402,0.0001218961,0.0008131085,0.000493849,0.0005816139,0.0001946089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004655432,"about_ca_system_score_gemma":0.0003371726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000159679,"about_ca_topic_score_gemma":0.00001089183,"domain_scores_codex":[0.9984722,0.00005361724,0.0002350494,0.00044836,0.000385397,0.0004054403],"domain_scores_gemma":[0.9979869,0.0002358974,0.0001460254,0.0002450503,0.001265404,0.0001207986],"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":[0.00001196981,0.0001385659,0.02246072,0.00002646439,0.00004468804,0.00001483948,0.2249279,0.0000748444,0.001454955,0.4726699,0.01807494,0.2601002],"study_design_scores_gemma":[0.0006509146,0.0006279965,0.03760945,0.0001938045,0.00002727251,0.0003380258,0.1739343,0.04897507,0.009890737,0.02275708,0.7038572,0.001138138],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8973474,0.0002930511,0.05103805,0.02216944,0.001408002,0.0002564587,0.000002161482,0.0008149421,0.02667053],"genre_scores_gemma":[0.9886931,0.00003881895,0.002008666,0.0002711147,0.0001416467,0.00004795066,0.000002921657,0.000011565,0.008784222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6857823,"threshold_uncertainty_score":0.9998282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580132832516048,"score_gpt":0.2560461015656608,"score_spread":0.2402447732405003,"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."}}