{"id":"W4392361002","doi":"10.1371/journal.pcbi.1011797","title":"Ten simple rules for pushing boundaries of inclusion at academic events","year":2024,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"International Brain Research Organization","keywords":"Inclusion (mineral); Diversity (politics); Scrutiny; Disadvantaged; Equity (law); Public relations; Political science; Simple (philosophy); Action (physics); Engineering ethics; Sociology; Social science; Engineering; Epistemology; Law","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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00528006,0.00009364238,0.0002362145,0.01336117,0.0009120042,0.0002521618,0.0009853048,0.0001412883,0.0001985337],"category_scores_gemma":[0.01335649,0.00006354156,0.0001180832,0.0183276,0.0002714901,0.0002298009,0.00294564,0.0001591437,0.0001199876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001109778,"about_ca_system_score_gemma":0.0003032131,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001898001,"about_ca_topic_score_gemma":0.000004791752,"domain_scores_codex":[0.9964404,0.0001389834,0.0005893282,0.0004791489,0.002052757,0.0002993579],"domain_scores_gemma":[0.9867125,0.01167882,0.0001379595,0.0001452566,0.001219707,0.0001058031],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002986578,0.0003279094,0.2718585,0.0001968118,0.0003028002,0.000009219226,0.002915016,0.004465944,0.05655884,0.2541424,0.04273254,0.3661914],"study_design_scores_gemma":[0.0001833018,0.0001516257,0.01628077,0.00001394696,0.000005927953,0.000003837406,0.00002855498,0.1227047,0.001133993,0.765516,0.09388937,0.0000879857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526175,0.002313346,0.04119625,0.002371337,0.0004844911,0.0002465114,0.0004972927,0.00003127547,0.000241994],"genre_scores_gemma":[0.9947457,0.00003751768,0.00448498,0.0001213277,0.00009443662,0.00001647973,0.0001972429,0.000007729286,0.0002946087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5113736,"threshold_uncertainty_score":0.9978215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4845617284525126,"score_gpt":0.5741376999064534,"score_spread":0.08957597145394075,"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."}}