{"id":"W6943280572","doi":"10.15468/dl.w88d8k","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); Alien; Range (aeronautics)","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":[0.0009342711,0.001884126,0.001627267,0.005133622,0.001008377,0.002528295,0.002623938,0.002142244,0.1496291],"category_scores_gemma":[0.0058305,0.0008723505,0.001275446,0.009975679,0.0004480394,0.002260767,0.002472041,0.001929897,0.2122258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568705,"about_ca_system_score_gemma":0.002263459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02226944,"about_ca_topic_score_gemma":0.0348714,"domain_scores_codex":[0.9989755,0.0001406607,0.0001313949,0.0003542391,0.0002287127,0.0001694456],"domain_scores_gemma":[0.9975582,0.0007243695,0.0002288964,0.0006180119,0.0006010737,0.0002693178],"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":[0.0000313958,0.0000123784,0.0004170155,0.0006289286,0.00001577983,0.00001656645,0.00002509979,0.000128831,0.0001358017,0.0003472253,0.9966432,0.001597876],"study_design_scores_gemma":[0.00007369774,0.000009987249,0.002298994,0.0002330592,0.00001637252,0.00004163585,0.00008250655,0.0001538714,0.0001939935,0.0006671075,0.9962105,0.00001820858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005002704,0.0000347354,0.00003997864,0.00003859064,0.00001280139,0.000005616958,0.9988349,0.0003652722,0.0006179936],"genre_scores_gemma":[0.0001757914,0.00004070532,0.000183821,0.00004807369,0.000003779893,0.00004336131,0.998907,0.0001299113,0.0004674849],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8503709,"threshold_uncertainty_score":0.5005591,"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."}}