{"id":"W4406675813","doi":"10.56367/oag-045-11366","title":"Helping biodiversity conservation with modelling","year":2025,"lang":"en","type":"article","venue":"Open Access Government","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Biodiversity; Biodiversity conservation; Environmental resource management; Environmental planning; Geography; Environmental science; Business; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000185019,0.0001098926,0.00009826862,0.00001204503,0.0002407652,0.000415835,0.0008851564,0.00002280926,0.00239559],"category_scores_gemma":[0.000003994652,0.00009856018,0.00001847332,0.0002132182,0.00007250147,0.001251155,0.00264617,0.00005660216,0.0002254333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006414939,"about_ca_system_score_gemma":0.000008370252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003359493,"about_ca_topic_score_gemma":0.0007327187,"domain_scores_codex":[0.9989566,0.00002651054,0.0001348097,0.0003155454,0.0004160952,0.0001503998],"domain_scores_gemma":[0.9995992,0.00001852784,0.00008707317,0.0002479138,0.000002674075,0.00004460189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002140574,0.0002829399,0.7572746,0.00002917736,0.00007624224,0.00001171177,0.0001120322,0.06577041,0.0005973096,0.003674651,0.1658511,0.006105689],"study_design_scores_gemma":[0.001364347,0.00005334083,0.1894683,0.00006989417,0.0000578481,6.436478e-7,0.0004441866,0.01783895,0.004088184,0.00051105,0.7857577,0.0003455067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4015523,0.000013506,0.1356218,0.02289901,0.0001310871,0.001400403,0.00001786496,0.00005054186,0.4383134],"genre_scores_gemma":[0.936023,0.00007411327,0.007290774,0.03530756,0.000005805051,0.00009642478,0.00001768858,0.000008637033,0.02117597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6199066,"threshold_uncertainty_score":0.9985164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04405344208111318,"score_gpt":0.2869594398699298,"score_spread":0.2429059977888166,"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."}}