{"id":"W6943386729","doi":"10.15468/dl.sj5ntz","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); Data set; Set (abstract data type)","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":[0.001039842,0.002088733,0.00170387,0.00515388,0.001052789,0.002755019,0.002966523,0.002184413,0.153317],"category_scores_gemma":[0.006235332,0.0009453619,0.00120268,0.009882034,0.0004569137,0.002491988,0.002603907,0.002084843,0.2184027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563504,"about_ca_system_score_gemma":0.002364116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02037559,"about_ca_topic_score_gemma":0.03439061,"domain_scores_codex":[0.9988819,0.0001592433,0.0001388657,0.000399374,0.0002404378,0.0001802394],"domain_scores_gemma":[0.9974286,0.0007398857,0.0002358574,0.0006937815,0.0006068729,0.0002949384],"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":[0.00003180749,0.00001206801,0.0003803458,0.0005634592,0.00001595074,0.00001569301,0.00002355557,0.0001275416,0.0001192699,0.0003853002,0.9969878,0.00133737],"study_design_scores_gemma":[0.00007746866,0.000008560507,0.001861735,0.0001914477,0.00001492376,0.00003933795,0.00007199241,0.0001533118,0.0001902026,0.0008445306,0.9965273,0.00001915704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004151815,0.00002866136,0.00004622417,0.00003489849,0.00001145842,0.000005125489,0.9988319,0.0004013888,0.0005988088],"genre_scores_gemma":[0.0001586583,0.00003238872,0.0001924519,0.00004493509,0.000003436153,0.00004034199,0.9989436,0.0001498265,0.0004344427],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.846683,"threshold_uncertainty_score":0.5128964,"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."}}