{"id":"W6887067899","doi":"10.15468/dl.npn5y4","title":"Occurrence Download","year":2023,"lang":"en","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":[0.0009500192,0.001872164,0.001558733,0.004783442,0.001072419,0.002989592,0.002833861,0.001919726,0.2005786],"category_scores_gemma":[0.006313683,0.0009419988,0.001413323,0.009544782,0.0004217773,0.002641527,0.002864995,0.001973241,0.2903434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001483972,"about_ca_system_score_gemma":0.002362427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02008949,"about_ca_topic_score_gemma":0.03207259,"domain_scores_codex":[0.9989242,0.0001309534,0.0001378913,0.0003855178,0.0002321007,0.0001893478],"domain_scores_gemma":[0.9974734,0.0006564453,0.000203018,0.0007191444,0.0006805492,0.0002675391],"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":[0.00002891355,0.000009332764,0.0003986955,0.0005040731,0.00001435027,0.00001565019,0.00002546184,0.0001130813,0.0001213456,0.0003818659,0.9965588,0.001828332],"study_design_scores_gemma":[0.00005078032,0.000006562033,0.001534985,0.0001564144,0.00001199194,0.00003293397,0.00007287353,0.0001519205,0.0001762155,0.0007701615,0.9970194,0.00001569858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004416094,0.00002941408,0.00006735569,0.00004418583,0.00001708421,0.000006242428,0.9982059,0.0006928184,0.0008928466],"genre_scores_gemma":[0.0001871676,0.00004117794,0.0002715405,0.00005711268,0.000004877535,0.00004666766,0.9984608,0.0002706446,0.0006600762],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7994214,"threshold_uncertainty_score":0.6710021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}