{"id":"W6943686869","doi":"10.15468/dl.zdahxs","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; Range (aeronautics); Base (topology)","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":[0.0009261682,0.002049839,0.001652616,0.005023285,0.001000588,0.00264853,0.002836665,0.002026909,0.1763266],"category_scores_gemma":[0.006045688,0.0009870798,0.001164906,0.009945077,0.0004244691,0.002459772,0.00254158,0.001945615,0.2294982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597957,"about_ca_system_score_gemma":0.002289201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02075037,"about_ca_topic_score_gemma":0.03485011,"domain_scores_codex":[0.9989361,0.000144643,0.0001389292,0.0003836971,0.0002217854,0.0001748755],"domain_scores_gemma":[0.9976151,0.0006823406,0.0002304337,0.0005858334,0.0006101477,0.0002760799],"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":[0.00003152839,0.00001025218,0.0003315212,0.0005845536,0.0000142313,0.00001387427,0.00001978504,0.0001112317,0.0001100982,0.0003678768,0.997088,0.001317164],"study_design_scores_gemma":[0.00007705151,0.00000884811,0.001704219,0.0001993774,0.00001491322,0.00003630753,0.00005874395,0.0001365391,0.0001757001,0.0008135461,0.9967558,0.00001890239],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003578468,0.00002760968,0.00003743956,0.00003169779,0.00001071984,0.000004526203,0.9989275,0.0003038462,0.0006207947],"genre_scores_gemma":[0.000150307,0.00003739382,0.0001805484,0.00004912411,0.000003501685,0.00004101757,0.998884,0.0001420502,0.0005120942],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8236734,"threshold_uncertainty_score":0.5898712,"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."}}