{"id":"W4403282647","doi":"10.5194/gc-7-245-2024","title":"Earth science for all? The economic barrier to European geoscience conferences","year":2024,"lang":"en","type":"article","venue":"Geoscience Communication","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Earth science; Earth (classical element); Astrobiology; Political science; Geology; Physics; Astronomy","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":[0.003849192,0.00008064239,0.0001633449,0.0007972452,0.001508454,0.003599218,0.0006353462,0.0008531453,0.01687662],"category_scores_gemma":[0.01757981,0.00007527928,0.0001524004,0.001672187,0.0007427032,0.001883489,0.002093431,0.001575632,0.0007475014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001557276,"about_ca_system_score_gemma":0.002462425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188148,"about_ca_topic_score_gemma":0.01449583,"domain_scores_codex":[0.9978163,0.0008045025,0.00008301506,0.0001284368,0.0003923136,0.0007753837],"domain_scores_gemma":[0.9837005,0.005003204,0.003505766,0.0004552709,0.001331752,0.006003435],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005078167,0.0004905914,0.4286499,0.0007101099,0.0001630479,0.001564339,0.01753912,0.001577929,0.001341006,0.164544,0.1896723,0.1932398],"study_design_scores_gemma":[0.0000334568,0.0001039503,0.616432,0.0006944208,0.00002665311,0.0004183593,0.03684784,0.0007229601,0.0004618824,0.006648134,0.3375598,0.00005055599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7631388,0.003849857,0.0007919242,0.1110257,0.0007084861,0.0000287382,0.0006363554,0.00003903876,0.1197811],"genre_scores_gemma":[0.9894406,0.0007791797,0.0002513436,0.003134819,0.0001424328,0.00001378623,0.0001377736,0.00001429349,0.006085819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9961508,"threshold_uncertainty_score":0.05645788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05440457281881775,"score_gpt":0.349668055137162,"score_spread":0.2952634823183443,"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."}}