{"id":"W6943081640","doi":"10.15468/dl.n2qhx7","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":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001118116,0.001933016,0.001683141,0.005390281,0.001026937,0.00289047,0.002941905,0.001991729,0.1744274],"category_scores_gemma":[0.006679117,0.0009882485,0.001177857,0.01082507,0.0004583186,0.002446201,0.002703871,0.002024718,0.2350099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152758,"about_ca_system_score_gemma":0.002359727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01954974,"about_ca_topic_score_gemma":0.03099032,"domain_scores_codex":[0.9988656,0.000155298,0.0001527994,0.0003971392,0.0002492176,0.0001799709],"domain_scores_gemma":[0.9973415,0.000775911,0.0002495217,0.0007000712,0.0006383449,0.0002947288],"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":[0.00002935308,0.00001028171,0.000357367,0.0005796658,0.00001615127,0.00001530804,0.00002475049,0.0001158797,0.0001124924,0.0003963811,0.9969352,0.001407161],"study_design_scores_gemma":[0.00006732361,0.000007037132,0.001639458,0.0001932071,0.00001486301,0.00003633971,0.00007169366,0.0001270284,0.000172928,0.0007723673,0.9968803,0.00001746161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003558315,0.00002584015,0.00004671824,0.0000324448,0.00001117345,0.000004723224,0.998874,0.0003618734,0.0006076284],"genre_scores_gemma":[0.0001533275,0.00003526266,0.0001974403,0.00004215541,0.000003432652,0.000041586,0.9989065,0.0001737382,0.0004465867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8255726,"threshold_uncertainty_score":0.5835179,"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."}}