{"id":"W6962157622","doi":"10.15468/dl.kd57u3","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":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":[0.0009415052,0.001878037,0.001583386,0.004901367,0.001073953,0.003071364,0.002788239,0.001895973,0.2037132],"category_scores_gemma":[0.006404543,0.000957288,0.001350859,0.009683711,0.0004174554,0.002648112,0.002874269,0.001954055,0.2871042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446731,"about_ca_system_score_gemma":0.002333733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01981166,"about_ca_topic_score_gemma":0.03086936,"domain_scores_codex":[0.9989077,0.0001345249,0.0001372148,0.0003927783,0.0002367703,0.0001911246],"domain_scores_gemma":[0.9974707,0.0006709931,0.0002077976,0.0007036924,0.0006841143,0.0002626852],"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":[0.00002847061,0.000009440751,0.0004156851,0.0005261687,0.00001475584,0.00001624561,0.00002622603,0.0001221086,0.0001208295,0.0003970974,0.9963936,0.001929291],"study_design_scores_gemma":[0.00005000584,0.000006577348,0.001529659,0.00015839,0.00001211296,0.00003236947,0.00007498881,0.0001514212,0.0001704362,0.0007563367,0.9970415,0.00001610875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004509302,0.0000304478,0.00006861977,0.00004500267,0.00001786384,0.000006238894,0.9982044,0.000684833,0.0008974153],"genre_scores_gemma":[0.000195366,0.00004244088,0.0002782697,0.0000563155,0.000005198073,0.00004758219,0.9984254,0.0002741824,0.0006753026],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7962868,"threshold_uncertainty_score":0.6814885,"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."}}