{"id":"W6905761049","doi":"10.15468/dl.redmja","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":[0.001013881,0.001842845,0.001590541,0.005190971,0.0009335598,0.002551499,0.002737346,0.002014804,0.1630661],"category_scores_gemma":[0.006049649,0.0009203811,0.001187762,0.0101248,0.0004442463,0.002166963,0.002640134,0.00194638,0.2140548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575315,"about_ca_system_score_gemma":0.002411216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02078884,"about_ca_topic_score_gemma":0.03441186,"domain_scores_codex":[0.9989166,0.0001412788,0.000143948,0.0003649207,0.0002463727,0.0001868282],"domain_scores_gemma":[0.9974819,0.0006825787,0.0002540298,0.0006642142,0.0006155776,0.0003017914],"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":[0.00003269745,0.00001163987,0.0004098137,0.0006315932,0.00001790719,0.00001531146,0.00002391453,0.0001206221,0.0001459476,0.0004067576,0.996707,0.001476872],"study_design_scores_gemma":[0.00007562591,0.00000816003,0.002019402,0.0002046817,0.00001605817,0.00003702256,0.00006355029,0.0001225544,0.0002031067,0.0007190671,0.996514,0.00001675796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003934712,0.00002752287,0.00003727958,0.0000319139,0.00001017194,0.000004912917,0.9989341,0.0003167063,0.000598048],"genre_scores_gemma":[0.0001566748,0.00003429807,0.0001673845,0.00004538624,0.000003182697,0.00003735554,0.9990096,0.0001288654,0.0004171871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8369339,"threshold_uncertainty_score":0.5455106,"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."}}