{"id":"W6886968334","doi":"10.15468/dl.kmd7kc","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":"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":[0.0009432731,0.002425566,0.001512076,0.004726392,0.001049801,0.002400653,0.003132031,0.002102018,0.1018818],"category_scores_gemma":[0.005534451,0.0008919899,0.001287911,0.008699142,0.0004762704,0.002248629,0.002489022,0.001951405,0.153205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810897,"about_ca_system_score_gemma":0.002646887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0247878,"about_ca_topic_score_gemma":0.04343388,"domain_scores_codex":[0.9989368,0.0001425939,0.0001468623,0.0003710107,0.0002502213,0.0001524897],"domain_scores_gemma":[0.9979314,0.0005743798,0.0001968523,0.0005354038,0.0004996203,0.0002623558],"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":[0.00004098711,0.00001742654,0.0004259404,0.0005725349,0.00001720143,0.00002288972,0.00002580338,0.0001862978,0.0001542643,0.000483913,0.9961957,0.001857043],"study_design_scores_gemma":[0.00009027518,0.0000116448,0.00172255,0.0001757702,0.00001603748,0.00006168656,0.00007425332,0.0003071978,0.0002768748,0.0009599077,0.9962837,0.0000201509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008191469,0.00004606893,0.00007471132,0.0000521299,0.00001428222,0.000008568877,0.9981334,0.0007349561,0.0008539733],"genre_scores_gemma":[0.0001799121,0.0000402982,0.0002757199,0.00004662322,0.000002751755,0.00003779738,0.9988589,0.0001387047,0.0004192576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8981181,"threshold_uncertainty_score":0.3408287,"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."}}