{"id":"W6924759786","doi":"10.15468/dl.nbc5pf","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); Alien; The Internet","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":[0.0009948332,0.002030292,0.001517542,0.004496744,0.001044645,0.002544334,0.002748907,0.002197619,0.1470198],"category_scores_gemma":[0.006054419,0.000900333,0.001320109,0.008561601,0.0004578402,0.002460391,0.002587466,0.00207952,0.2113735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529654,"about_ca_system_score_gemma":0.00226235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02032726,"about_ca_topic_score_gemma":0.03547458,"domain_scores_codex":[0.998925,0.0001547454,0.0001295469,0.0003906474,0.0002321204,0.000167948],"domain_scores_gemma":[0.9973577,0.0007794717,0.0002248358,0.0007338881,0.0006121625,0.0002919238],"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":[0.00002854396,0.00001275297,0.0003839307,0.0004876402,0.00001373601,0.00001437212,0.00002205948,0.0001270093,0.0001097003,0.000339182,0.9970959,0.001365088],"study_design_scores_gemma":[0.00007691648,0.00001017284,0.001962076,0.0001931996,0.00001448204,0.00003947261,0.00007854423,0.0001874916,0.0001977578,0.0008315683,0.9963897,0.00001867556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005330946,0.0000317706,0.00005138106,0.0000477647,0.00001612636,0.000006646796,0.9986361,0.0004733723,0.0006834827],"genre_scores_gemma":[0.0001762457,0.00003414652,0.0002226136,0.00005570725,0.000004125924,0.00004722766,0.9988176,0.0001530306,0.0004891047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8529802,"threshold_uncertainty_score":0.4918302,"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."}}