{"id":"W4293101695","doi":"10.1371/journal.pcbi.1010395","title":"Ten simple rules for organizing a special session at a scientific conference","year":2022,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Session (web analytics); Simple (philosophy); Computer science; Event (particle physics); Special Interest Group; Data science; Mathematics education; Psychology; World Wide Web; Epistemology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03785266,0.00141383,0.001127184,0.004689316,0.008235552,0.01163343,0.004261198,0.006554909,0.0368755],"category_scores_gemma":[0.07075771,0.001747651,0.001810302,0.002615538,0.003862518,0.007871194,0.007525674,0.006208199,0.01905541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003689605,"about_ca_system_score_gemma":0.008132547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004183775,"about_ca_topic_score_gemma":0.01055778,"domain_scores_codex":[0.955459,0.02257085,0.005187794,0.004486836,0.007612869,0.004682684],"domain_scores_gemma":[0.920332,0.03074927,0.007317188,0.009071173,0.01316665,0.0193638],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001879388,0.001616764,0.0242378,0.001273904,0.0002622427,0.00113909,0.007041784,0.008187892,0.006185681,0.4530585,0.2760472,0.2190697],"study_design_scores_gemma":[0.0008895834,0.0006526312,0.01424466,0.001498412,0.0002722552,0.0008370211,0.00843965,0.02498175,0.006233461,0.2834165,0.6577171,0.0008170427],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05478741,0.001344171,0.6059896,0.01972587,0.00691495,0.02155433,0.003392356,0.01061757,0.2756737],"genre_scores_gemma":[0.2347011,0.0006695575,0.6778212,0.004679997,0.001286736,0.0153216,0.002301574,0.001673185,0.06154513],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9621474,"threshold_uncertainty_score":0.2001864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07072840976142424,"score_gpt":0.3209671257936499,"score_spread":0.2502387160322256,"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."}}