{"id":"W4405315805","doi":"10.2305/erif4355","title":"Editorial Essay: WILD12 and the 10th IRF World Ranger Congress: two congresses but shared messages","year":2024,"lang":"en","type":"editorial","venue":"PARKS","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Media studies; Library science; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006620587,0.002743311,0.002125988,0.003638235,0.007165801,0.009919007,0.00245041,0.01574737,0.01783825],"category_scores_gemma":[0.02761348,0.0009298043,0.001500064,0.001916673,0.002763541,0.005897836,0.002524372,0.01702496,0.0135914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005109568,"about_ca_system_score_gemma":0.005420747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003206514,"about_ca_topic_score_gemma":0.009242937,"domain_scores_codex":[0.9941831,0.001050525,0.0004893831,0.0006921924,0.003136814,0.0004481033],"domain_scores_gemma":[0.9821512,0.006154978,0.0009426486,0.0003908506,0.007813998,0.002546329],"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":[0.000007885538,0.000005096319,0.00001311117,0.00003464449,0.000002086035,0.00003875923,0.00002394756,0.000007180289,0.00001898202,0.0001901272,0.9984874,0.001170828],"study_design_scores_gemma":[0.00001855938,0.00001030818,0.0001549672,0.0002846072,0.000009172184,0.0001130766,0.0001383614,0.00004213137,0.00004447762,0.0007743682,0.9983969,0.00001298059],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005477094,0.00289092,0.00007040378,0.1071995,0.8859767,0.00001575016,0.00004907117,0.00002811754,0.003714759],"genre_scores_gemma":[0.0009543355,0.003122543,0.0001389285,0.07391859,0.8927631,0.00005373869,0.000062892,0.00007969211,0.0289062],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01783825,"threshold_uncertainty_score":0.05967486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005439821236805255,"score_gpt":0.2401925808950429,"score_spread":0.2347527596582377,"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."}}