{"id":"W7106704031","doi":"10.15468/dl.597kks","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0008995656,0.001737364,0.001508345,0.005005318,0.00103332,0.002836716,0.002652305,0.001773896,0.1839871],"category_scores_gemma":[0.006243608,0.00089828,0.001260314,0.009427883,0.0004089536,0.002401923,0.002581361,0.001788257,0.260064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472192,"about_ca_system_score_gemma":0.002410506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02163544,"about_ca_topic_score_gemma":0.03436751,"domain_scores_codex":[0.9989523,0.0001260003,0.0001378192,0.0003739401,0.0002243404,0.0001856325],"domain_scores_gemma":[0.9975393,0.0006433558,0.0002221723,0.0006649148,0.0006713448,0.0002588777],"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":[0.0000302343,0.00000932597,0.0005089807,0.0005482981,0.00001549204,0.00001778519,0.00002764124,0.0001268025,0.0001332421,0.0004011429,0.9960871,0.002094035],"study_design_scores_gemma":[0.00004801547,0.000006411343,0.001766235,0.0001637558,0.00001267205,0.00003494856,0.00007884677,0.0001468658,0.0001750113,0.0007075316,0.9968442,0.0000155859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004774309,0.00002949321,0.00006505381,0.0000389609,0.00001598394,0.000005774421,0.9983747,0.000592189,0.0008300961],"genre_scores_gemma":[0.0002037737,0.00003932973,0.0002746532,0.00005054249,0.000004754259,0.0000443694,0.9985422,0.0002199032,0.0006205892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8160129,"threshold_uncertainty_score":0.6154983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}