{"id":"W6887120511","doi":"10.15468/dl.qpewre","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":"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":[0.0009492364,0.00209979,0.00171218,0.005239132,0.001063884,0.002807975,0.003088278,0.002235522,0.1692368],"category_scores_gemma":[0.0065374,0.000954563,0.001260955,0.01003821,0.0004757876,0.002512032,0.002770793,0.002091185,0.2317077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001654964,"about_ca_system_score_gemma":0.002319406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138598,"about_ca_topic_score_gemma":0.03489733,"domain_scores_codex":[0.9989486,0.0001402742,0.0001338542,0.0003674102,0.0002376226,0.0001723041],"domain_scores_gemma":[0.9976352,0.0007150876,0.0002078824,0.0005988943,0.0005833058,0.0002595535],"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":[0.00002901606,0.00001176196,0.0003498379,0.0005960783,0.00001490935,0.00001576764,0.00002692484,0.0001278381,0.0001022813,0.0003775328,0.9968517,0.001496252],"study_design_scores_gemma":[0.00007625234,0.000008525311,0.001597304,0.0002322233,0.00001591718,0.00004053035,0.00008717705,0.0001862283,0.0001846295,0.0008581985,0.9966944,0.00001845865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004412563,0.00003397757,0.00005153685,0.00003999991,0.00001326008,0.000005734606,0.9986556,0.0004809623,0.0006748167],"genre_scores_gemma":[0.0001668723,0.00003814105,0.0002169015,0.00004738972,0.000003432579,0.00004678904,0.9988301,0.0001856963,0.0004645923],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8307632,"threshold_uncertainty_score":0.5661534,"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."}}