{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008878368,0.001140725,0.0009479893,0.003388857,0.004926052,0.02036145,0.002872005,0.007612927,0.4600843],"category_scores_gemma":[0.03785211,0.0004468952,0.001231744,0.003489689,0.002063071,0.02782568,0.01436987,0.009520942,0.2075366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00267094,"about_ca_system_score_gemma":0.005451845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009538038,"about_ca_topic_score_gemma":0.002268225,"domain_scores_codex":[0.9879754,0.003910068,0.0007002714,0.001194197,0.00448396,0.001735992],"domain_scores_gemma":[0.9586977,0.009033523,0.002904317,0.005523738,0.007722726,0.01611799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003091661,0.000101945,0.000207626,0.0002663216,0.000007487652,0.00006150579,0.0004170687,0.00006105462,0.0002410836,0.02654869,0.8240312,0.1480251],"study_design_scores_gemma":[0.00001267154,0.0000190775,0.0003402303,0.0002716076,0.000002944715,0.0000788525,0.000335294,0.00003521159,0.00008898151,0.008586191,0.9902157,0.0000133695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00256599,0.03503389,0.01378417,0.2565597,0.07974324,0.000349028,0.002063912,0.00436391,0.6055362],"genre_scores_gemma":[0.04457828,0.02607546,0.03130417,0.1154353,0.07719455,0.0007742033,0.003127251,0.003657747,0.6978531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4600843,"threshold_uncertainty_score":0.7701242,"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."}}