{"id":"W6924438589","doi":"10.15468/dl.9xrys2","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Identification (biology); State (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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001072736,0.002438959,0.001676554,0.004848768,0.00116809,0.002644993,0.003333607,0.002431775,0.1039887],"category_scores_gemma":[0.005647117,0.0009917973,0.001301637,0.008740421,0.0005146786,0.002483006,0.002752933,0.002285545,0.1639054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001974522,"about_ca_system_score_gemma":0.002693431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0239609,"about_ca_topic_score_gemma":0.04056392,"domain_scores_codex":[0.9988533,0.0001457781,0.0001511661,0.0003966197,0.0002859254,0.000167182],"domain_scores_gemma":[0.9978125,0.0005823133,0.0002014208,0.0006102044,0.0005167398,0.0002768829],"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":[0.00003776055,0.00001736063,0.0004308604,0.0005548089,0.00001774879,0.00002302421,0.0000278415,0.0001771116,0.0001623027,0.0004845925,0.9963412,0.001725343],"study_design_scores_gemma":[0.00008312028,0.000008953265,0.001894177,0.000183923,0.00001576112,0.00005994093,0.00008217878,0.0002754739,0.0002820705,0.0009166184,0.9961783,0.00001955062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000700044,0.00004096137,0.00006997544,0.00005422398,0.00001351908,0.000007629474,0.9983358,0.0006352465,0.0007726511],"genre_scores_gemma":[0.0001654648,0.00003452703,0.0002453949,0.00004371228,0.000002544736,0.00003519855,0.998974,0.0001285416,0.0003706212],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8960112,"threshold_uncertainty_score":0.347877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142634990495084,"score_gpt":0.2390157115319853,"score_spread":0.2275893616270345,"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."}}