{"id":"W4395389888","doi":"10.15468/dl.6qzdmd","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001123737,0.002536941,0.001959571,0.005383508,0.001206224,0.003043117,0.0035185,0.002524999,0.1485593],"category_scores_gemma":[0.006190531,0.001077542,0.001278143,0.01056238,0.0005331877,0.002510704,0.002801589,0.002447234,0.2218333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001957056,"about_ca_system_score_gemma":0.002756427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02368045,"about_ca_topic_score_gemma":0.03727773,"domain_scores_codex":[0.998874,0.0001493106,0.0001426809,0.0003902407,0.0002673408,0.0001764309],"domain_scores_gemma":[0.9976614,0.0006626013,0.0002119498,0.0006036495,0.0005610065,0.0002994558],"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":[0.00004121757,0.00001461129,0.0003590203,0.0006497653,0.00001836566,0.00002066973,0.00002479063,0.0001554008,0.0001487296,0.0004695595,0.9967119,0.001385986],"study_design_scores_gemma":[0.00009599522,0.000008311065,0.001460326,0.0001930275,0.00001590661,0.00004250887,0.00006556752,0.0001890227,0.0002303878,0.0008649204,0.9968151,0.0000188197],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004129916,0.00003137509,0.00004980832,0.00003505038,0.00001016906,0.000005315669,0.9987564,0.0004745734,0.0005960303],"genre_scores_gemma":[0.000130227,0.00003523015,0.0001957036,0.00003719201,0.000002466857,0.00003299431,0.9990578,0.0001526825,0.0003557339],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8514407,"threshold_uncertainty_score":0.4969803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00803384199831209,"score_gpt":0.2019340336335647,"score_spread":0.1939001916352526,"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."}}