{"id":"W6905899577","doi":"10.15468/dl.mstx7q","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; Task (project management)","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":[0.0009936099,0.001928517,0.001573062,0.004711967,0.001060073,0.002584996,0.002819955,0.00219447,0.1701004],"category_scores_gemma":[0.006156647,0.0009146825,0.001307655,0.00906097,0.0004628261,0.002488698,0.002668252,0.002117008,0.2375649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001603749,"about_ca_system_score_gemma":0.00244906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148552,"about_ca_topic_score_gemma":0.03686998,"domain_scores_codex":[0.9989278,0.0001517878,0.000126648,0.000386328,0.0002322842,0.0001750147],"domain_scores_gemma":[0.9972903,0.0007875018,0.0002303481,0.0007424565,0.0006542347,0.0002951744],"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":[0.00002802188,0.0000116208,0.000341159,0.0004880764,0.00001267215,0.00001375705,0.00002222985,0.0001102399,0.0001031106,0.0003424947,0.997163,0.001363577],"study_design_scores_gemma":[0.00006897054,0.000008957252,0.001734443,0.0001939375,0.00001317465,0.00003455053,0.00007293006,0.0001493824,0.0001794503,0.0008089182,0.996718,0.00001722245],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004456455,0.00002891972,0.00004454293,0.00004340499,0.00001376767,0.000006153601,0.9986602,0.0004400548,0.000718345],"genre_scores_gemma":[0.0001648379,0.00003444254,0.0002104131,0.00005378661,0.00000384666,0.00004607795,0.9987841,0.0001669256,0.0005355934],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8298996,"threshold_uncertainty_score":0.5690426,"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."}}