{"id":"W6887135021","doi":"10.15468/dl.rd78yq","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":[0.0009207635,0.001869073,0.001498653,0.004628883,0.0009396452,0.002434895,0.0025672,0.002007426,0.1517358],"category_scores_gemma":[0.005490107,0.0008573107,0.001178968,0.00853354,0.0004265678,0.002208111,0.002439717,0.00184074,0.2181296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435028,"about_ca_system_score_gemma":0.002103804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01921926,"about_ca_topic_score_gemma":0.03076638,"domain_scores_codex":[0.9990715,0.0001269172,0.0001179322,0.0003304968,0.0001959147,0.0001572099],"domain_scores_gemma":[0.997747,0.0006506145,0.0002124339,0.0005781892,0.0005536742,0.0002580431],"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":[0.00003009784,0.00001251987,0.0004434603,0.0005643254,0.00001477346,0.00001638773,0.00002377874,0.0001280037,0.000129499,0.0003444809,0.9967641,0.001528634],"study_design_scores_gemma":[0.00007569803,0.00001020327,0.002226628,0.0002140761,0.00001554572,0.00004239691,0.00008142408,0.0001747088,0.0002057178,0.0007079197,0.9962275,0.00001807745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005153168,0.00002943499,0.00004462087,0.00003830394,0.00001367834,0.000005849379,0.9987879,0.0003998778,0.0006287463],"genre_scores_gemma":[0.00018463,0.00003486292,0.0002002155,0.00004878376,0.000004083185,0.00004423588,0.9988668,0.0001427945,0.0004736435],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8482642,"threshold_uncertainty_score":0.5076068,"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."}}