{"id":"W6887311195","doi":"10.15468/dl.xab6ac","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":"Matching (statistics); Download; Range (aeronautics); 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":[0.000930524,0.001990322,0.001604441,0.004798078,0.0009862563,0.00242473,0.002817844,0.002106228,0.1472614],"category_scores_gemma":[0.005360268,0.0009285826,0.001214214,0.009616938,0.0004483605,0.002168399,0.002582238,0.002018412,0.2044672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001625432,"about_ca_system_score_gemma":0.002328164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02341162,"about_ca_topic_score_gemma":0.03791686,"domain_scores_codex":[0.9990407,0.0001242572,0.0001222482,0.0003285821,0.0002183175,0.0001659876],"domain_scores_gemma":[0.9977961,0.0006084295,0.0002112747,0.0005850432,0.000536416,0.0002627772],"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":[0.00003011068,0.0000120468,0.0004121763,0.0005625155,0.00001604282,0.00001623256,0.00002804724,0.0001394705,0.0001441746,0.0004064457,0.9967186,0.001514087],"study_design_scores_gemma":[0.0000723591,0.000007839206,0.002007871,0.000191559,0.00001459799,0.00003816393,0.00007572228,0.0001575095,0.0002034613,0.0006905416,0.9965228,0.00001760269],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004539099,0.00002644852,0.00004557925,0.00003305425,0.00001141988,0.0000051852,0.998832,0.0003923338,0.0006085185],"genre_scores_gemma":[0.00016275,0.00003110988,0.0002009702,0.00004146234,0.000002975556,0.00004116267,0.9989629,0.0001509455,0.0004056655],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8527386,"threshold_uncertainty_score":0.4926386,"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."}}