{"id":"W6905935893","doi":"10.15468/dl.tnumcf","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009206964,0.002069769,0.001481015,0.00472276,0.000990139,0.002421971,0.002679178,0.001991278,0.1488313],"category_scores_gemma":[0.005783018,0.0008890142,0.001234001,0.009361559,0.0004415757,0.002174811,0.002472524,0.001845533,0.2068833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001492165,"about_ca_system_score_gemma":0.002323186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132443,"about_ca_topic_score_gemma":0.03556645,"domain_scores_codex":[0.9989498,0.0001402745,0.0001328319,0.0003813701,0.0002224888,0.0001733601],"domain_scores_gemma":[0.9975882,0.0006742301,0.0002292231,0.0006386265,0.0005909964,0.0002786576],"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":[0.00003125045,0.00001231184,0.0004050634,0.0004803905,0.00001395091,0.00001373435,0.00001961356,0.0001278308,0.0001174346,0.0003397228,0.9970265,0.001412292],"study_design_scores_gemma":[0.00008161784,0.00001141652,0.002021952,0.0001797403,0.00001533355,0.00003921695,0.00006868357,0.0001726987,0.0002106244,0.0008116686,0.9963675,0.00001954452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005084752,0.0000275035,0.00004046999,0.000036094,0.00001381003,0.000005350883,0.9988368,0.0003717474,0.0006173206],"genre_scores_gemma":[0.0001640002,0.00003267459,0.0001868472,0.00004730639,0.000003741628,0.0000403175,0.9989107,0.0001336478,0.0004807458],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8511688,"threshold_uncertainty_score":0.4978902,"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."}}