{"id":"W6924791379","doi":"10.15468/dl.rdms9s","title":"Occurrence Download","year":2020,"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; Set (abstract data type)","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":[0.0009127946,0.00197604,0.001578412,0.005150602,0.001035716,0.002508311,0.002941758,0.002092007,0.1643803],"category_scores_gemma":[0.005880542,0.0009440366,0.001135948,0.0106016,0.0004774004,0.002360581,0.002554597,0.002007878,0.215987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001839439,"about_ca_system_score_gemma":0.00251921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03298071,"about_ca_topic_score_gemma":0.05031072,"domain_scores_codex":[0.999,0.0001221041,0.0001215191,0.0003205237,0.0002578159,0.0001780455],"domain_scores_gemma":[0.9975101,0.0006428966,0.0002145775,0.0006561364,0.0006727717,0.0003035447],"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":[0.00002625785,0.00001051954,0.0003056834,0.0004010421,0.00001094905,0.00001471175,0.00002278855,0.0001065016,0.0001015577,0.0003436723,0.9973626,0.001293703],"study_design_scores_gemma":[0.00007036401,0.000007681092,0.001959856,0.000172038,0.00001243997,0.00004243154,0.00008768767,0.0001638529,0.0002077867,0.00062865,0.9966297,0.00001753146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000465519,0.00002492941,0.00004522053,0.00003887191,0.00001196195,0.000005244965,0.9986758,0.0004454477,0.0007059315],"genre_scores_gemma":[0.0001676027,0.00003080424,0.0001955677,0.00003882752,0.000003169833,0.00003533452,0.9988785,0.0001576754,0.0004924648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8356197,"threshold_uncertainty_score":0.549907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}