{"id":"W6962185762","doi":"10.15468/dl.r7mqku","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":[0.0009056886,0.001804192,0.001529203,0.004818948,0.001065884,0.002968109,0.002724352,0.001838472,0.201551],"category_scores_gemma":[0.006224649,0.0009089646,0.001358783,0.009665148,0.000411468,0.002551306,0.002774631,0.001921555,0.2861677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001457433,"about_ca_system_score_gemma":0.002386146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02114651,"about_ca_topic_score_gemma":0.03322587,"domain_scores_codex":[0.9989554,0.0001272399,0.000133404,0.0003712009,0.000226297,0.0001865785],"domain_scores_gemma":[0.9975281,0.0006504705,0.0001994319,0.0006776385,0.0006832972,0.0002610159],"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":[0.00002822059,0.000009130492,0.0004192885,0.0005081478,0.00001431583,0.00001612725,0.00002591535,0.0001166685,0.0001185563,0.0003880753,0.9964258,0.001929766],"study_design_scores_gemma":[0.00004761654,0.000006214821,0.00152112,0.0001550129,0.00001173884,0.00003213231,0.00007420578,0.0001467485,0.0001688077,0.0007515026,0.9970693,0.00001557401],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004513265,0.00002996401,0.00006717586,0.00004406223,0.00001738574,0.000006054735,0.9982207,0.0006648875,0.0009046093],"genre_scores_gemma":[0.0001927724,0.00004249883,0.0002734619,0.00005554513,0.000004987276,0.00004556338,0.9984404,0.0002645115,0.0006801956],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.798449,"threshold_uncertainty_score":0.6742554,"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."}}