{"id":"W6905952837","doi":"10.15468/dl.tfzrmt","title":"Occurrence Download","year":2016,"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":[0.000962494,0.001924274,0.001565685,0.005003863,0.0009446203,0.00250928,0.002858798,0.002100423,0.1285638],"category_scores_gemma":[0.006138648,0.0008279896,0.001181513,0.009684456,0.0004538937,0.002384347,0.002578496,0.001995535,0.1945666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642065,"about_ca_system_score_gemma":0.002250377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01995271,"about_ca_topic_score_gemma":0.03319123,"domain_scores_codex":[0.9989669,0.0001426996,0.0001356726,0.000353904,0.0002301546,0.0001706009],"domain_scores_gemma":[0.9975749,0.0006607531,0.0002426344,0.0006421375,0.0005932818,0.0002863219],"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":[0.00003105349,0.00001365077,0.0004677658,0.0005689352,0.00001548677,0.00001681242,0.00002555395,0.00014167,0.0001156729,0.0003761817,0.9967121,0.001515156],"study_design_scores_gemma":[0.00008441656,0.0000106724,0.002255523,0.0002222507,0.00001513188,0.00004735006,0.00008768513,0.0002025579,0.0001886449,0.0007758255,0.9960924,0.0000176046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005996823,0.00003736421,0.00004530324,0.00004382372,0.00001489854,0.000005934693,0.9987852,0.0003872165,0.0006203694],"genre_scores_gemma":[0.0001744052,0.000036395,0.0001824656,0.00004263875,0.000003837004,0.00004069028,0.9989856,0.0001146321,0.0004193972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8714362,"threshold_uncertainty_score":0.4300889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}