{"id":"W6924835343","doi":"10.15468/dl.ymwg4s","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); The Internet","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":[0.001007945,0.001846157,0.001545994,0.004919022,0.001038052,0.002594423,0.002750992,0.002200974,0.1556998],"category_scores_gemma":[0.005976981,0.0008684985,0.001217989,0.009314341,0.0004591116,0.002346914,0.002598798,0.002045928,0.2198572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157227,"about_ca_system_score_gemma":0.002303508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02068759,"about_ca_topic_score_gemma":0.03445643,"domain_scores_codex":[0.9989492,0.0001465893,0.0001301565,0.0003640284,0.0002319569,0.0001780609],"domain_scores_gemma":[0.9974316,0.0007473847,0.0002305305,0.0006812327,0.0006225201,0.0002866742],"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":[0.00002978355,0.00001276006,0.0003859998,0.0005331922,0.00001376272,0.00001562836,0.00002524491,0.0001194428,0.0001274027,0.0003926865,0.9968914,0.001452808],"study_design_scores_gemma":[0.00006814177,0.00000870106,0.001904253,0.0001981894,0.0000134462,0.00003598907,0.00007903332,0.0001379966,0.0001901385,0.0007455444,0.9966009,0.00001766933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004583032,0.00002667928,0.00004261,0.00003946641,0.00001248212,0.000005532657,0.998817,0.0003569286,0.0006535359],"genre_scores_gemma":[0.0001669179,0.00003233517,0.0001996434,0.00004536596,0.000003554612,0.00004330725,0.9988966,0.0001371275,0.000475087],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8443002,"threshold_uncertainty_score":0.5208677,"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."}}