{"id":"W6962197028","doi":"10.15468/dl.tjq6ec","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; Alien; Range (aeronautics); State (computer science)","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":[0.0009073006,0.002033581,0.00149419,0.004965801,0.000978749,0.002420099,0.002565545,0.001922038,0.1634447],"category_scores_gemma":[0.005861566,0.0008868626,0.001188567,0.009833114,0.0004446058,0.002090394,0.002509465,0.001759901,0.2221269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00142839,"about_ca_system_score_gemma":0.002275613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050613,"about_ca_topic_score_gemma":0.03315736,"domain_scores_codex":[0.9989893,0.0001375005,0.0001284181,0.0003624868,0.0002103365,0.0001719789],"domain_scores_gemma":[0.9976419,0.0006772731,0.0002268078,0.000596292,0.0005907845,0.000266859],"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":[0.00003262668,0.00001190058,0.0004197288,0.0005537806,0.00001405763,0.0000149681,0.00002237091,0.0001278201,0.0001280936,0.0003515922,0.9968134,0.001509775],"study_design_scores_gemma":[0.00007724632,0.00001088953,0.001952784,0.0001899597,0.00001521789,0.00003708939,0.00007066281,0.0001519169,0.000199032,0.0007783662,0.996498,0.0000187437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004832339,0.00002785427,0.00003963628,0.00003360047,0.00001261211,0.000005269723,0.9988214,0.0003667486,0.0006444782],"genre_scores_gemma":[0.0001686249,0.00003472855,0.0001905356,0.00004668093,0.00000374654,0.00004333677,0.9988818,0.0001442713,0.0004863162],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8365553,"threshold_uncertainty_score":0.546777,"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."}}