{"id":"W3093651401","doi":"10.1002/ece3.6923","title":"Online conferences for better learning","year":2020,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Scope (computer science); Open science; Data science; Process (computing); Online learning; Computer science; Set (abstract data type); Ecology; World Wide Web; Engineering ethics; Engineering; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001347934,0.00003168024,0.00005797256,0.00001811992,0.0004306036,0.00001970774,0.00003939683,0.00004717588,0.000194685],"category_scores_gemma":[0.0001206714,0.00003135346,0.00001694426,0.00005078965,0.0001031431,0.00006209917,0.00001914352,0.0000529997,0.00001500924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001633851,"about_ca_system_score_gemma":0.00004993581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002253086,"about_ca_topic_score_gemma":0.003557813,"domain_scores_codex":[0.9996254,0.00005311004,0.00006149636,0.0001042094,0.0000369346,0.0001188337],"domain_scores_gemma":[0.9998215,0.00005958767,0.00002625051,0.00001622586,0.00003358667,0.0000428886],"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":[0.00004276106,0.0000715179,0.3175101,0.00003240231,0.00003508831,0.000001241096,0.00798742,0.00008172345,0.0000738107,0.6395861,0.01130552,0.02327229],"study_design_scores_gemma":[0.0003649436,0.0003023243,0.4430082,0.000005881502,0.00002957673,1.90037e-7,0.01229427,0.004318554,0.000002398519,0.01925437,0.5203021,0.0001171353],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936606,0.00009415762,0.008932549,0.08400925,0.0002417469,0.000259933,0.000006627592,0.00007632667,0.0127188],"genre_scores_gemma":[0.998104,0.00006170083,0.0003325495,0.0007529135,0.0002498117,0.00001414483,0.00001625846,0.000001373069,0.0004671949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6203317,"threshold_uncertainty_score":0.3311898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03991576835036625,"score_gpt":0.2942417883365977,"score_spread":0.2543260199862314,"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."}}