{"id":"W6943780351","doi":"10.15468/dl.xtaq12","title":"Occurrence Download","year":2019,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAINT; State (computer science); Download; Range (aeronautics); Genus","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":[0.0007661993,0.00324388,0.002244557,0.006884994,0.001190736,0.003167344,0.002426877,0.002727187,0.266356],"category_scores_gemma":[0.005447332,0.001000914,0.002066969,0.009002344,0.0003953188,0.003273423,0.003247223,0.002158715,0.3432364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001396204,"about_ca_system_score_gemma":0.002469258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166593,"about_ca_topic_score_gemma":0.0336029,"domain_scores_codex":[0.9989027,0.0001250662,0.0001608632,0.0003810017,0.000229024,0.0002014239],"domain_scores_gemma":[0.9975068,0.0007556846,0.0001926792,0.0006095063,0.0005812955,0.0003541439],"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":[0.00006284763,0.0000246513,0.0003702334,0.0006545103,0.00001776266,0.00003097211,0.00002835265,0.0001822864,0.0001347026,0.0003891964,0.9949003,0.003204242],"study_design_scores_gemma":[0.0001337981,0.00002032778,0.001688341,0.0002170684,0.0000251922,0.00007508125,0.0001092679,0.0006188733,0.0002619713,0.001494329,0.9953228,0.00003304604],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009296447,0.00006734431,0.0001255456,0.00006209044,0.00003438292,0.00001528644,0.9955883,0.002214644,0.001799508],"genre_scores_gemma":[0.0002908321,0.00007581442,0.0006180432,0.0001018807,0.00001019616,0.00006368762,0.9972988,0.0004585369,0.001082193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.733644,"threshold_uncertainty_score":0.8910496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}