{"id":"W6943763894","doi":"10.15468/dl.wf45r5","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":[0.0008904414,0.001847068,0.001513223,0.004564408,0.001040146,0.002855699,0.002755415,0.001890704,0.1772946],"category_scores_gemma":[0.005770611,0.0009033461,0.001410399,0.008765828,0.0003979643,0.002510573,0.002693649,0.001949079,0.2656443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001381453,"about_ca_system_score_gemma":0.002251989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0191933,"about_ca_topic_score_gemma":0.03165365,"domain_scores_codex":[0.9989742,0.0001254857,0.0001282114,0.0003734444,0.0002181554,0.0001804515],"domain_scores_gemma":[0.997695,0.0005939021,0.0001851365,0.0006734533,0.0006032995,0.000249111],"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":[0.0000309961,0.00001049127,0.0004641019,0.0005047254,0.00001613519,0.00001714285,0.00002591284,0.0001318193,0.00013313,0.0003823003,0.9963266,0.001956497],"study_design_scores_gemma":[0.00005543985,0.00000733761,0.001720631,0.0001540414,0.00001381105,0.00003662656,0.00007721454,0.000191396,0.0001979647,0.0008161532,0.9967124,0.00001700305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005253817,0.00003124883,0.00007312981,0.00004535401,0.00001868642,0.000006474009,0.9981316,0.0007585979,0.0008823793],"genre_scores_gemma":[0.000199147,0.00003912905,0.0002897445,0.00005475973,0.000005042286,0.00004522134,0.9985096,0.0002463642,0.0006111098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8227054,"threshold_uncertainty_score":0.5931096,"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."}}