{"id":"W6905856133","doi":"10.15468/dl.mjsg4a","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); 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":[0.001004375,0.002031815,0.001585228,0.005099042,0.0009899056,0.002498858,0.002867783,0.002096521,0.1479203],"category_scores_gemma":[0.005735405,0.0009080617,0.00117829,0.01010916,0.0004620333,0.002325199,0.002497809,0.002036947,0.2110131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157718,"about_ca_system_score_gemma":0.002248209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106384,"about_ca_topic_score_gemma":0.0345025,"domain_scores_codex":[0.9989417,0.0001500205,0.0001332185,0.0003706262,0.0002280859,0.0001763569],"domain_scores_gemma":[0.9976026,0.0006671344,0.0002317501,0.0006445899,0.0005733365,0.0002805059],"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":[0.00002771885,0.00001193084,0.0003657654,0.000501374,0.00001497195,0.00001458937,0.00002279041,0.0001327638,0.0001098661,0.0003673029,0.9970804,0.001350599],"study_design_scores_gemma":[0.00007377968,0.000008225958,0.001842492,0.0001814783,0.00001438893,0.00003728894,0.00007316134,0.000160062,0.000180781,0.0007638804,0.9966468,0.00001761513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004449121,0.00002743451,0.00004405543,0.00003546546,0.00001251979,0.000005139962,0.9988667,0.0003478794,0.0006163985],"genre_scores_gemma":[0.0001561438,0.0000313633,0.000179826,0.00004189419,0.000003467694,0.00004012498,0.9989905,0.0001280335,0.0004287192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8520797,"threshold_uncertainty_score":0.4948427,"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."}}