{"id":"W6887325306","doi":"10.15468/dl.ysmkmw","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; 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":[0.0009202264,0.001873477,0.001553405,0.005160835,0.0009889492,0.002536688,0.002589677,0.002026947,0.1575653],"category_scores_gemma":[0.005658921,0.0008855631,0.001248659,0.009917199,0.0004341394,0.002209741,0.002518385,0.001904389,0.2259496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001546057,"about_ca_system_score_gemma":0.002268501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164599,"about_ca_topic_score_gemma":0.03494365,"domain_scores_codex":[0.9990135,0.0001345366,0.0001241086,0.0003493516,0.0002115559,0.0001669456],"domain_scores_gemma":[0.9976571,0.0006925937,0.0002161222,0.0006028901,0.0005691689,0.0002620976],"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":[0.00003065915,0.00001201834,0.0004145081,0.000638093,0.00001581347,0.00001725492,0.00002597736,0.0001225449,0.0001418115,0.0003752694,0.996639,0.001566931],"study_design_scores_gemma":[0.00006665565,0.000009067819,0.002153386,0.0002166209,0.00001605576,0.00003922025,0.00008253308,0.0001396616,0.0001943541,0.0006853283,0.9963798,0.00001725547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004805709,0.00003076677,0.00004223236,0.00003671829,0.00001270262,0.000005547398,0.9988249,0.0003601301,0.0006389397],"genre_scores_gemma":[0.0001666936,0.00003762173,0.0001848126,0.0000448857,0.000003721934,0.00004221277,0.9989053,0.0001339005,0.0004808216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424346,"threshold_uncertainty_score":0.5271086,"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."}}