{"id":"W6943618653","doi":"10.15468/dl.uxattj","title":"Occurrence Download","year":2015,"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; Range (aeronautics); Data set","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":[0.000984022,0.001913236,0.001644806,0.005513989,0.0009113572,0.002502217,0.002939527,0.001931556,0.1333427],"category_scores_gemma":[0.005835306,0.0008688329,0.001184147,0.01106719,0.0004217668,0.0021041,0.002501402,0.001907617,0.1822238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00165748,"about_ca_system_score_gemma":0.002589039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02465069,"about_ca_topic_score_gemma":0.03972613,"domain_scores_codex":[0.9989328,0.0001381342,0.0001489138,0.000362846,0.0002380158,0.0001792198],"domain_scores_gemma":[0.9976293,0.000625065,0.0002585731,0.0006169715,0.0005904509,0.0002796189],"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":[0.0000321576,0.00001218153,0.0004845149,0.0006128822,0.0000200167,0.0000169426,0.00002662186,0.0001542419,0.0001309115,0.0004330295,0.9965238,0.001552665],"study_design_scores_gemma":[0.00007563611,0.000008412432,0.002414228,0.0002166745,0.00001776349,0.00004051074,0.00007308635,0.0001502469,0.0002024786,0.0007182323,0.996064,0.00001862223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004395983,0.00002837792,0.00003878546,0.00002920745,0.000009774568,0.000004649377,0.9990335,0.0002886705,0.0005231897],"genre_scores_gemma":[0.0001518931,0.00003130119,0.0001503338,0.00003348412,0.000002688615,0.00003157055,0.9991462,0.00009478029,0.0003576788],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8666573,"threshold_uncertainty_score":0.4460757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02668786630850237,"score_gpt":0.2410469455301918,"score_spread":0.2143590792216895,"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."}}