{"id":"W4396476091","doi":"10.15468/dl.jqrz42","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biomedical Text Mining and Ontologies","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":[0.001058728,0.002407326,0.001608829,0.005051011,0.001055434,0.002598332,0.003272287,0.002274158,0.124852],"category_scores_gemma":[0.005530287,0.0009453771,0.001198176,0.009013552,0.0005226167,0.002370981,0.002644813,0.002165101,0.1819833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001959749,"about_ca_system_score_gemma":0.002608593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02349789,"about_ca_topic_score_gemma":0.03815606,"domain_scores_codex":[0.9989375,0.0001385005,0.0001314712,0.0003593135,0.0002710335,0.0001621602],"domain_scores_gemma":[0.9977978,0.0006004403,0.0002037346,0.0005705357,0.0005190794,0.0003083579],"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":[0.00003531391,0.00001546125,0.0003495396,0.0004737888,0.00001457885,0.00001970312,0.00002371895,0.000155239,0.0001270788,0.000400994,0.9967359,0.001648636],"study_design_scores_gemma":[0.00008744127,0.000009344466,0.001883202,0.0001702369,0.00001483569,0.00005760026,0.00007732799,0.0002917802,0.000286239,0.0009157386,0.9961873,0.00001892275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006399691,0.00003728492,0.00006205391,0.0000517407,0.00001228167,0.000007333186,0.9983484,0.0006224411,0.0007945688],"genre_scores_gemma":[0.0001710587,0.00003226145,0.000223767,0.00004165632,0.000002740346,0.00003654304,0.9989175,0.0001340522,0.0004405658],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8751481,"threshold_uncertainty_score":0.4176714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641038539255171,"score_gpt":0.2338003742875479,"score_spread":0.2173899888949961,"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."}}