{"id":"W6887196576","doi":"10.15468/dl.tbjpnv","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Order (exchange)","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":[0.001012383,0.001872465,0.001566742,0.00500964,0.0009906329,0.002502732,0.002830432,0.001947256,0.1495824],"category_scores_gemma":[0.005735022,0.0009018973,0.001152181,0.009512058,0.0004488734,0.002252221,0.002592261,0.001955092,0.2073779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500791,"about_ca_system_score_gemma":0.002296108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02011357,"about_ca_topic_score_gemma":0.03414761,"domain_scores_codex":[0.9989249,0.0001480687,0.0001467875,0.0003601261,0.0002400312,0.0001799341],"domain_scores_gemma":[0.9975617,0.0006515504,0.0002285657,0.0006724235,0.0006026474,0.0002831241],"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":[0.00003384538,0.00001238349,0.0003737868,0.0006057106,0.0000167184,0.0000169658,0.00002522302,0.0001163131,0.0001513416,0.0004259301,0.9967399,0.001481851],"study_design_scores_gemma":[0.00007369993,0.000008447687,0.001957218,0.000185504,0.00001453994,0.00003958961,0.00006903227,0.0001244077,0.0002086804,0.0007360008,0.996565,0.0000178578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004341213,0.0000263481,0.00004471259,0.00003252855,0.00001086954,0.000005729814,0.9988188,0.0003776737,0.00063974],"genre_scores_gemma":[0.0001516412,0.00003105677,0.0001792224,0.00004176926,0.000003023217,0.00003874234,0.9990386,0.0001268829,0.0003891233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8504176,"threshold_uncertainty_score":0.500403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}