{"id":"W6924496542","doi":"10.15468/dl.kn7cub","title":"Occurrence Download","year":2023,"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); Alien","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":[0.001007948,0.001938274,0.00164908,0.004979407,0.001016378,0.002559182,0.00274382,0.002180069,0.1485238],"category_scores_gemma":[0.005942443,0.0009059164,0.001307999,0.009767107,0.0004525902,0.002255518,0.002466103,0.001979999,0.2131778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589244,"about_ca_system_score_gemma":0.002329645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02174206,"about_ca_topic_score_gemma":0.03511136,"domain_scores_codex":[0.9989476,0.0001488911,0.0001362597,0.000367412,0.0002284335,0.0001714666],"domain_scores_gemma":[0.9974577,0.0007592202,0.000236178,0.0006662993,0.0006021034,0.0002784819],"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":[0.00003168471,0.0000128766,0.0004122969,0.0006246261,0.00001625695,0.0000165583,0.00002438548,0.0001277156,0.000133311,0.0003510481,0.9967344,0.00151487],"study_design_scores_gemma":[0.00008125679,0.00001077034,0.002315842,0.0002376639,0.00001765199,0.00004337719,0.00008266717,0.0001639799,0.0002113782,0.0007148519,0.9961016,0.00001894183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004903636,0.00003379805,0.00004149595,0.00003929447,0.00001318327,0.000006032959,0.9988292,0.0003803868,0.0006075223],"genre_scores_gemma":[0.0001616208,0.00003815825,0.0001852262,0.00004658103,0.000003677011,0.00004291732,0.9989624,0.0001256246,0.0004338595],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8514762,"threshold_uncertainty_score":0.4968616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}