{"id":"W6943491284","doi":"10.15468/dl.sw9fb7","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":[0.001002411,0.002001148,0.001556562,0.004855864,0.001048246,0.002604422,0.002806425,0.002245192,0.1599269],"category_scores_gemma":[0.006184201,0.0009141563,0.001293147,0.008672119,0.0004607176,0.00248371,0.002608538,0.002075908,0.218463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001621088,"about_ca_system_score_gemma":0.002319915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02270819,"about_ca_topic_score_gemma":0.0362198,"domain_scores_codex":[0.9989557,0.000149057,0.0001267412,0.0003700223,0.0002271541,0.0001714097],"domain_scores_gemma":[0.9974157,0.0007701026,0.00021814,0.0006879712,0.0006262126,0.0002818653],"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":[0.00002747832,0.00001225462,0.0003892975,0.0004855524,0.00001348366,0.00001524919,0.00002266033,0.000123405,0.0001068706,0.0003436807,0.9970927,0.001367226],"study_design_scores_gemma":[0.00007471936,0.000009405559,0.001971056,0.0002016776,0.00001440794,0.00003927787,0.00008484296,0.0001870388,0.0001907696,0.0008199827,0.996388,0.00001906364],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004762756,0.00002796358,0.00004928595,0.00004479545,0.0000143113,0.000006420058,0.9987096,0.0004522919,0.0006477759],"genre_scores_gemma":[0.0001784647,0.00003285922,0.0002224517,0.00005318872,0.000004136762,0.00004882119,0.9988136,0.0001588201,0.0004876498],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8400731,"threshold_uncertainty_score":0.5350088,"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."}}