{"id":"W6943345351","doi":"10.15468/dl.dh8as5","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Genomics and Phylogenetic Studies","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":[0.0009709409,0.002264432,0.001632296,0.004578782,0.00102863,0.002602164,0.003122488,0.001966808,0.135411],"category_scores_gemma":[0.006054193,0.0009333453,0.001227457,0.009175551,0.0004737902,0.002365473,0.002593453,0.001999432,0.1941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740123,"about_ca_system_score_gemma":0.002622155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02529534,"about_ca_topic_score_gemma":0.04267801,"domain_scores_codex":[0.9989758,0.0001405452,0.0001366786,0.000362097,0.0002285243,0.0001564242],"domain_scores_gemma":[0.9978262,0.000598449,0.0002023528,0.0005562455,0.00055148,0.000265352],"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":[0.00003839536,0.00001320499,0.0003936839,0.0005643504,0.00001632329,0.00001751781,0.00002520326,0.0001524992,0.0001210887,0.0004611339,0.9966173,0.0015793],"study_design_scores_gemma":[0.00008445356,0.000009267686,0.001499033,0.0001759809,0.00001465973,0.00004221034,0.00006899884,0.000207556,0.0002098921,0.0009300233,0.9967391,0.00001877094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005196988,0.00003356078,0.00005932306,0.00003739653,0.00001133176,0.000006147014,0.9984697,0.000610615,0.0007199773],"genre_scores_gemma":[0.0001619893,0.0000376888,0.0002477409,0.0000444748,0.000002705472,0.00003573027,0.9988422,0.0001876633,0.0004398456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.864589,"threshold_uncertainty_score":0.4529949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0089153214616674,"score_gpt":0.2136767702076688,"score_spread":0.2047614487460014,"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."}}