{"id":"W6943375635","doi":"10.15468/dl.prwkgc","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); 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":[0.0009927129,0.001922432,0.001616655,0.00521317,0.001023543,0.002529009,0.002842498,0.002005935,0.1565178],"category_scores_gemma":[0.005686939,0.0009012702,0.001125135,0.01031497,0.0004610509,0.002372639,0.002558914,0.0020149,0.2185141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001522385,"about_ca_system_score_gemma":0.002332035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02026748,"about_ca_topic_score_gemma":0.03582983,"domain_scores_codex":[0.9989817,0.0001415323,0.0001285132,0.0003572509,0.0002240024,0.0001670557],"domain_scores_gemma":[0.9975839,0.0006754071,0.0002325236,0.0006374998,0.0005875159,0.0002832614],"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":[0.0000289019,0.00001166162,0.0003710605,0.0005573594,0.00001496772,0.00001582454,0.0000255254,0.0001192215,0.0001235839,0.0004004624,0.9969566,0.001374865],"study_design_scores_gemma":[0.00006811752,0.000007556626,0.001786333,0.0001819789,0.00001338536,0.00003679694,0.00007435256,0.0001200632,0.0001755636,0.0007544925,0.9967642,0.00001720481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004192983,0.00002778612,0.00004464101,0.0000334494,0.00001133196,0.000005056336,0.9988455,0.0003379513,0.0006523932],"genre_scores_gemma":[0.0001554547,0.00003345475,0.0001916002,0.00004183443,0.000003315164,0.00003910834,0.9989354,0.0001365334,0.0004632875],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8434823,"threshold_uncertainty_score":0.5236042,"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."}}