{"id":"W4319999843","doi":"10.1111/jvs.13170","title":"Trends in geographic and gender balance among authors","year":2023,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Publishing; Equity (law); Web of science; Library science; Vegetation (pathology); Geography; Political science; Ecology; Regional science; MEDLINE; Law; 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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.004660595,0.0003056142,0.0005805483,0.008694982,0.0007293755,0.002446541,0.0009028582,0.0007801285,0.007676982],"category_scores_gemma":[0.03340648,0.0002207313,0.0005729459,0.01253093,0.000668537,0.003231818,0.001406868,0.0006172966,0.002039288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006473665,"about_ca_system_score_gemma":0.001035829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00398542,"about_ca_topic_score_gemma":0.006679073,"domain_scores_codex":[0.9944099,0.001198623,0.000992593,0.001663705,0.00115569,0.0005795187],"domain_scores_gemma":[0.943028,0.02068621,0.02145455,0.002072947,0.009846065,0.002912121],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004403666,0.00004139701,0.8640692,0.002121239,0.0004765173,0.0006433837,0.01682565,0.0001565069,0.0007408116,0.003921174,0.03606384,0.07449994],"study_design_scores_gemma":[0.00004321459,0.0001306784,0.8877324,0.001531304,0.00025549,0.001516557,0.01567482,0.0003292326,0.0005402693,0.002379505,0.08979186,0.00007466513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8213211,0.0959016,0.001951367,0.0111661,0.002198191,0.00008009068,0.04721974,0.0002113411,0.01995049],"genre_scores_gemma":[0.9620839,0.01579195,0.001099157,0.001653041,0.001795644,0.0001828267,0.01042513,0.0001826524,0.006785626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9953394,"threshold_uncertainty_score":0.02568209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902743251045708,"score_gpt":0.2788337042604226,"score_spread":0.2598062717499655,"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."}}