{"id":"W6887268448","doi":"10.15468/dl.uhm2um","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); 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":[0.00102149,0.001950331,0.001659044,0.004971719,0.0009984951,0.002665639,0.00277841,0.002176114,0.1593501],"category_scores_gemma":[0.006356606,0.0009044515,0.001303563,0.00970486,0.0004543017,0.002414848,0.002580046,0.001940391,0.2344666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001627736,"about_ca_system_score_gemma":0.002355383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02189725,"about_ca_topic_score_gemma":0.03337064,"domain_scores_codex":[0.9989176,0.0001494473,0.0001380086,0.0003793468,0.0002360063,0.0001796339],"domain_scores_gemma":[0.9974158,0.0007544967,0.0002298312,0.0006668053,0.0006560613,0.0002769796],"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":[0.00003006111,0.00001215204,0.0003970185,0.0006223573,0.00001543879,0.00001575259,0.00002342428,0.0001252999,0.0001222954,0.0003436121,0.9967809,0.001511733],"study_design_scores_gemma":[0.00007104623,0.000009811381,0.002096093,0.0002285628,0.00001582193,0.00003833465,0.00008129737,0.0001617408,0.0001964192,0.0007270754,0.9963558,0.00001808335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004217077,0.00003009641,0.00003989539,0.00003807353,0.00001248649,0.000005503786,0.9988599,0.0003742648,0.00059758],"genre_scores_gemma":[0.0001582977,0.00003669234,0.0001772527,0.00004585152,0.000003648652,0.00004106534,0.9989741,0.0001301227,0.0004329946],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.84065,"threshold_uncertainty_score":0.533079,"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."}}