{"id":"W6887021044","doi":"10.15468/dl.kk44yd","title":"Occurrence Download","year":2022,"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":[0.000913428,0.001897028,0.001566719,0.004843743,0.001074522,0.003078689,0.002783017,0.001888698,0.1958052],"category_scores_gemma":[0.006171106,0.0009421002,0.001376651,0.009320966,0.0004099522,0.002688023,0.002883822,0.001958183,0.2841465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417428,"about_ca_system_score_gemma":0.002284361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01958063,"about_ca_topic_score_gemma":0.03166423,"domain_scores_codex":[0.9989072,0.0001319652,0.0001352596,0.0003990152,0.0002382386,0.0001882273],"domain_scores_gemma":[0.9975011,0.0006517842,0.0002010711,0.0007143494,0.0006670849,0.0002646202],"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":[0.00002960144,0.000009761759,0.0004271569,0.0005079871,0.00001508972,0.00001666228,0.0000266566,0.0001226652,0.0001264424,0.0003884332,0.9963855,0.001944187],"study_design_scores_gemma":[0.00004977409,0.000006760183,0.001598237,0.0001493213,0.00001242786,0.00003408467,0.00007565867,0.0001634871,0.0001793446,0.0007631715,0.9969513,0.00001635148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004930975,0.00003070414,0.00007374417,0.00004602192,0.00001853576,0.000006414424,0.9980738,0.0007626912,0.0009387741],"genre_scores_gemma":[0.0001973671,0.00004005353,0.0002861286,0.00005594756,0.000005125601,0.00004624603,0.9984126,0.0002822792,0.0006742621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8041948,"threshold_uncertainty_score":0.6550336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}