{"id":"W6887176127","doi":"10.15468/dl.t2ena6","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); Confidentiality","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":[0.00102663,0.002046846,0.001673245,0.004898897,0.001014686,0.002635528,0.002888668,0.002163376,0.1546062],"category_scores_gemma":[0.006133631,0.0009411963,0.001227668,0.009505671,0.00045351,0.002484136,0.002626869,0.002102695,0.2154432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001572697,"about_ca_system_score_gemma":0.002273445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02040524,"about_ca_topic_score_gemma":0.03496011,"domain_scores_codex":[0.9989017,0.0001554347,0.000139064,0.0003847457,0.000244336,0.0001746095],"domain_scores_gemma":[0.9974499,0.0007249701,0.0002330365,0.0006853482,0.0006122328,0.0002944108],"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":[0.0000306301,0.00001171552,0.0003602251,0.0005380323,0.00001497833,0.00001499063,0.00002211396,0.0001279017,0.0001110074,0.0003801731,0.9970925,0.001295691],"study_design_scores_gemma":[0.00008062261,0.000008258377,0.001826862,0.0001858175,0.00001414778,0.00003655573,0.00006891934,0.0001561793,0.0001841342,0.0008466495,0.996573,0.00001884515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003846249,0.00002521941,0.00004354379,0.00003483387,0.00001123334,0.000005264471,0.9988599,0.0003703549,0.0006111424],"genre_scores_gemma":[0.0001535552,0.00003085552,0.0001976051,0.00004455021,0.000003358107,0.00004073979,0.9989426,0.0001450698,0.0004416772],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8453938,"threshold_uncertainty_score":0.5172093,"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."}}