{"id":"W6905994532","doi":"10.15468/dl.s9htlv","title":"Occurrence Download","year":2018,"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); Odocoileus; 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":[0.0009773471,0.002019487,0.00160193,0.005548391,0.0009482169,0.002652233,0.002885602,0.001975765,0.1471212],"category_scores_gemma":[0.005915725,0.0008737405,0.001197444,0.01082568,0.0004485075,0.002235915,0.002832968,0.002001464,0.2135883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157771,"about_ca_system_score_gemma":0.002421388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02218755,"about_ca_topic_score_gemma":0.0371771,"domain_scores_codex":[0.9989381,0.0001338566,0.0001368155,0.000355498,0.0002449552,0.0001907846],"domain_scores_gemma":[0.9975695,0.000597233,0.0002425036,0.0006669132,0.0006253883,0.0002984014],"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":[0.00003156138,0.00001158676,0.000409144,0.000573421,0.00001718565,0.00001568636,0.00002518449,0.0001211191,0.0001244901,0.0004023708,0.9967559,0.00151232],"study_design_scores_gemma":[0.00007284336,0.000007857642,0.001889797,0.0001956786,0.00001462035,0.0000361014,0.00006620526,0.0001336326,0.000183968,0.0007276858,0.996655,0.0000166293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004281757,0.00002857046,0.00003979649,0.00003081814,0.00001094252,0.000005122596,0.9988347,0.0003860086,0.0006212337],"genre_scores_gemma":[0.000142011,0.00003111081,0.0001640999,0.00003744375,0.000003155142,0.00003405552,0.9990813,0.0001300899,0.0003767383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8528788,"threshold_uncertainty_score":0.4921695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}