{"id":"W6924464941","doi":"10.15468/dl.ftm8vj","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009280621,0.002089995,0.001431798,0.004397922,0.001008741,0.002338291,0.002769762,0.001981089,0.1247168],"category_scores_gemma":[0.006221327,0.0008670689,0.001316621,0.008211448,0.0004505775,0.002031008,0.002319762,0.001884026,0.1797673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681833,"about_ca_system_score_gemma":0.002495708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02825448,"about_ca_topic_score_gemma":0.04694364,"domain_scores_codex":[0.9989184,0.000152406,0.0001439425,0.0003739731,0.0002490542,0.0001622509],"domain_scores_gemma":[0.9975839,0.0007089626,0.000218763,0.0006175876,0.0006038784,0.0002668522],"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":[0.00003323734,0.00001261225,0.0004011323,0.0004563286,0.00001420046,0.00001588575,0.00002220216,0.0001439634,0.0001052968,0.0003637187,0.9969318,0.001499632],"study_design_scores_gemma":[0.00008384065,0.00001112039,0.001982108,0.0001808261,0.00001505853,0.00004783127,0.00007278126,0.0002389434,0.0001987568,0.000851627,0.9962984,0.00001875219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005792755,0.00003418785,0.00005526516,0.00004651379,0.00001455499,0.000006289785,0.9985494,0.0005459673,0.0006899047],"genre_scores_gemma":[0.00016377,0.00003469125,0.0002257899,0.00004922103,0.000003390326,0.00003691653,0.9988934,0.0001407062,0.0004521368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8752832,"threshold_uncertainty_score":0.4172191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04937073218750897,"score_gpt":0.3867520064183884,"score_spread":0.3373812742308794,"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."}}