{"id":"W6962400053","doi":"10.15468/dl.p7ckzw","title":"Occurrence Download","year":2022,"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); Alien; Range (aeronautics); Identification (biology)","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":[0.00100311,0.002003006,0.001604831,0.005129756,0.00100111,0.002622724,0.002651088,0.002170026,0.1560995],"category_scores_gemma":[0.006384799,0.000904398,0.001292718,0.00938396,0.0004371373,0.002321022,0.002529511,0.001991008,0.2122838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001575118,"about_ca_system_score_gemma":0.00234274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02136192,"about_ca_topic_score_gemma":0.03180411,"domain_scores_codex":[0.9989315,0.0001515061,0.0001397162,0.0003777274,0.0002243295,0.0001752524],"domain_scores_gemma":[0.9972867,0.0008436288,0.0002410028,0.0006968443,0.0006433979,0.0002884976],"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":[0.00003235752,0.00001255232,0.000425553,0.0006108031,0.00001569738,0.00001654698,0.00002313498,0.0001354979,0.000118319,0.0003403959,0.9967924,0.001476712],"study_design_scores_gemma":[0.00008822131,0.00001095816,0.002248341,0.0002433632,0.00001718367,0.00004214975,0.00008604135,0.0001952609,0.0002059826,0.0007911435,0.996051,0.00002036478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000438237,0.00002836387,0.00004024735,0.00004003217,0.00001287783,0.000005817866,0.9989028,0.0003846083,0.0005414414],"genre_scores_gemma":[0.0001718207,0.00003724804,0.0001943076,0.00005056369,0.00000403068,0.00004574039,0.9989116,0.0001404942,0.0004441707],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439005,"threshold_uncertainty_score":0.5222048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}