{"id":"W6943536183","doi":"10.15468/dl.p7jh8p","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); 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":[0.0009861247,0.001835694,0.00153664,0.005490712,0.0009504624,0.00258479,0.002650421,0.001846641,0.1752744],"category_scores_gemma":[0.005913914,0.0008666575,0.001155711,0.01067446,0.0004359887,0.002263346,0.002691756,0.001859382,0.2486173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156513,"about_ca_system_score_gemma":0.00256844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0249494,"about_ca_topic_score_gemma":0.04265745,"domain_scores_codex":[0.9989065,0.0001424884,0.0001425928,0.0003590948,0.0002620255,0.0001873893],"domain_scores_gemma":[0.9973901,0.0006527573,0.0002513107,0.0006657683,0.0007331264,0.0003069436],"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":[0.00002840833,0.000009405402,0.0003662654,0.0005257264,0.00001438189,0.00001362869,0.0000240024,0.0001017768,0.0001182701,0.0003884512,0.9968656,0.001544088],"study_design_scores_gemma":[0.00005046791,0.000005866913,0.001665914,0.0001719199,0.00001212358,0.00002910467,0.00006067763,0.00009350162,0.0001737728,0.0006460921,0.9970754,0.00001507607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003435027,0.00002407841,0.00003927812,0.0000297929,0.00001000158,0.000004808747,0.9987975,0.0003193644,0.0007407208],"genre_scores_gemma":[0.0001508963,0.00003344048,0.0001858568,0.00004496284,0.00000339425,0.00003648369,0.9988372,0.0001552557,0.000552526],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8247256,"threshold_uncertainty_score":0.5863512,"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."}}