{"id":"W6887265860","doi":"10.15468/dl.uz3foc","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); Set (abstract data type); 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":[0.001017943,0.001963374,0.001686012,0.005579277,0.001011406,0.002642717,0.002939046,0.001981568,0.1681857],"category_scores_gemma":[0.006164422,0.0009103366,0.001172909,0.01116373,0.0004731588,0.002368866,0.002664887,0.002011937,0.2366126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617982,"about_ca_system_score_gemma":0.002444291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02168503,"about_ca_topic_score_gemma":0.03592519,"domain_scores_codex":[0.9989626,0.0001392888,0.0001378558,0.0003574314,0.0002268104,0.0001758701],"domain_scores_gemma":[0.9975049,0.0006915007,0.0002407525,0.0006473065,0.0006295706,0.0002860133],"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":[0.0000297439,0.00001077692,0.0003601924,0.0005919901,0.00001575582,0.00001595461,0.00002622035,0.0001191642,0.0001225351,0.0004289122,0.9968298,0.001448874],"study_design_scores_gemma":[0.00006270307,0.000006679187,0.001599177,0.0001907424,0.00001365882,0.00003330367,0.00006983762,0.0001088953,0.000177732,0.0007607958,0.9969598,0.00001666974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003790546,0.00002763839,0.00004271029,0.00003111854,0.00001108326,0.000004917333,0.9988351,0.0003364574,0.0006730499],"genre_scores_gemma":[0.0001500575,0.00003440081,0.0001836085,0.00004052251,0.00000325881,0.00003881229,0.9989298,0.0001540194,0.0004655537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8318143,"threshold_uncertainty_score":0.5626373,"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."}}