{"id":"W6925074267","doi":"10.15468/dl.up4xnn","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); Scheme (mathematics)","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":[0.00102997,0.002051648,0.001521701,0.005837226,0.0008715339,0.002350037,0.002746999,0.001973162,0.137938],"category_scores_gemma":[0.005590604,0.0008772677,0.001164812,0.01084941,0.0004594167,0.002153203,0.002449135,0.00182075,0.1908554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718489,"about_ca_system_score_gemma":0.002468986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02478283,"about_ca_topic_score_gemma":0.0391465,"domain_scores_codex":[0.9988759,0.0001477314,0.0001589921,0.0003612153,0.000259418,0.0001966536],"domain_scores_gemma":[0.9973223,0.0006572139,0.000277948,0.0007257952,0.0006761273,0.000340604],"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":[0.00003813335,0.0000131196,0.0004302266,0.0005614383,0.00001652903,0.0000170846,0.00002198695,0.000143138,0.0001371478,0.0003719799,0.9967477,0.001501458],"study_design_scores_gemma":[0.00007983372,0.00001003627,0.002509433,0.0001875448,0.00001538397,0.00004381976,0.00006875563,0.0001581177,0.0002219518,0.0006724844,0.9960135,0.00001915304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004320115,0.0000229727,0.00002930337,0.00002859713,0.000009308317,0.000004593743,0.9990688,0.0002778747,0.0005153303],"genre_scores_gemma":[0.0001447085,0.00002722334,0.0001353523,0.00003448193,0.000002897961,0.00002884023,0.9991667,0.00008817706,0.0003717526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.862062,"threshold_uncertainty_score":0.4614487,"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."}}