{"id":"W6962317269","doi":"10.15468/dl.u7kb2v","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":[0.001014276,0.001988305,0.001594655,0.004815213,0.001047894,0.002638355,0.002806669,0.002172026,0.1546419],"category_scores_gemma":[0.006327006,0.000914652,0.00128438,0.009031667,0.0004428428,0.002486786,0.002622056,0.001988676,0.2254254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001564269,"about_ca_system_score_gemma":0.002305697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02092359,"about_ca_topic_score_gemma":0.03319403,"domain_scores_codex":[0.9989285,0.0001497891,0.0001376024,0.000378479,0.0002307367,0.0001747443],"domain_scores_gemma":[0.9973493,0.0007532088,0.0002263064,0.0007156076,0.0006667787,0.0002888844],"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":[0.00003009733,0.0000124382,0.0003900012,0.0005442083,0.0000141905,0.00001564043,0.00002295623,0.0001255828,0.0001153499,0.0003476033,0.9969413,0.001440592],"study_design_scores_gemma":[0.00007700564,0.000009956526,0.001968781,0.0002086283,0.00001474286,0.00004011688,0.00008229479,0.0001793157,0.0002001713,0.0007771404,0.9964227,0.00001895508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004748447,0.00002887507,0.00004755675,0.00004307287,0.00001461083,0.000006292137,0.9987171,0.0004461663,0.0006489067],"genre_scores_gemma":[0.0001663662,0.00003459321,0.0002109801,0.00004972489,0.000004021968,0.0000445976,0.9988738,0.0001489494,0.0004668438],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8453581,"threshold_uncertainty_score":0.5173286,"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."}}