{"id":"W6943509675","doi":"10.15468/dl.wevg9a","title":"Occurrence Download","year":2020,"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":[0.0009832282,0.001951614,0.001532845,0.005614597,0.001063184,0.002848873,0.002901909,0.002188476,0.1657887],"category_scores_gemma":[0.006577671,0.0009942391,0.001345498,0.01132848,0.0004366935,0.002755655,0.002731127,0.002079854,0.2276295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001909803,"about_ca_system_score_gemma":0.002562229,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02712086,"about_ca_topic_score_gemma":0.04259841,"domain_scores_codex":[0.9988085,0.0001549796,0.0001704665,0.0003989069,0.0002671948,0.0001999869],"domain_scores_gemma":[0.9973094,0.0007365492,0.0002385158,0.0006795269,0.0007514127,0.0002846755],"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":[0.00003363109,0.00001186159,0.0004039514,0.0006282397,0.00001490572,0.00001786134,0.00002653853,0.0001365928,0.0001204617,0.0004354265,0.9964377,0.001732884],"study_design_scores_gemma":[0.0000626699,0.000007627136,0.001665968,0.0001974243,0.00001238854,0.00003930236,0.00007878593,0.0001554438,0.0001626724,0.0007039177,0.996896,0.00001776839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003952887,0.00002768073,0.00004675998,0.0000400168,0.00001241533,0.000005425931,0.9986981,0.0004040848,0.0007258981],"genre_scores_gemma":[0.0001570997,0.00003904166,0.0002269139,0.00004910427,0.000003672621,0.00004013531,0.9988122,0.0001492349,0.0005225678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8342113,"threshold_uncertainty_score":0.5546185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}