{"id":"W6887276379","doi":"10.15468/dl.wj4abp","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); Ophiostoma; 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":[0.0009720085,0.002028684,0.001645262,0.005071608,0.001058022,0.002621134,0.002800243,0.002169512,0.1572687],"category_scores_gemma":[0.00614133,0.0009228305,0.001322036,0.009723135,0.0004598439,0.002399067,0.002581195,0.002018292,0.2276406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001677779,"about_ca_system_score_gemma":0.002416919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02391187,"about_ca_topic_score_gemma":0.03690879,"domain_scores_codex":[0.9989121,0.0001436687,0.0001344565,0.0003845143,0.0002411796,0.0001841343],"domain_scores_gemma":[0.9973963,0.0007574693,0.0002289464,0.0006791987,0.000650091,0.0002878829],"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":[0.00002892036,0.00001244812,0.0003843319,0.0005614534,0.00001437572,0.00001577588,0.00002372958,0.0001192471,0.0001217409,0.000337576,0.9969627,0.001417521],"study_design_scores_gemma":[0.00007145254,0.000009775765,0.002119999,0.0002118733,0.00001594305,0.00003930998,0.00008207269,0.0001609709,0.0002098517,0.000728332,0.9963316,0.00001876124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004670873,0.00002987626,0.00004144377,0.00003947342,0.00001302407,0.000005815832,0.9987659,0.00041219,0.0006455833],"genre_scores_gemma":[0.0001621191,0.0000358069,0.0001783648,0.00004730109,0.000003660624,0.00004177872,0.9989255,0.0001429416,0.0004624361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8427314,"threshold_uncertainty_score":0.5261161,"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."}}