{"id":"W6887074893","doi":"10.15468/dl.m8qsf8","title":"Occurrence Download","year":2018,"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); SAINT; 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":[0.0009015537,0.00173009,0.001403865,0.005326136,0.0009561254,0.002632163,0.002670068,0.001974591,0.1378552],"category_scores_gemma":[0.006569388,0.0008464186,0.001142125,0.01051617,0.0004268314,0.002315307,0.002439233,0.002055136,0.1850437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159212,"about_ca_system_score_gemma":0.002403848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02088151,"about_ca_topic_score_gemma":0.03402675,"domain_scores_codex":[0.9989753,0.0001476028,0.0001300664,0.0003561597,0.0002282959,0.000162595],"domain_scores_gemma":[0.9975561,0.0007435739,0.0002293502,0.0006305854,0.000583432,0.000256912],"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":[0.00002438475,0.00001110313,0.0004299891,0.0005213527,0.00001510949,0.00001510754,0.00002694932,0.0001411602,0.00009233018,0.0004256046,0.9966808,0.001616061],"study_design_scores_gemma":[0.00006340561,0.000007491108,0.001855421,0.0002081756,0.00001446039,0.00003917663,0.00008660099,0.0001921543,0.0001627625,0.0008234535,0.9965311,0.00001570588],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005500574,0.00003813222,0.00005275054,0.00004881951,0.00001485952,0.000005917115,0.9987239,0.0003909295,0.0006696333],"genre_scores_gemma":[0.0001946795,0.00004572429,0.0002167873,0.00004932041,0.000004185268,0.00004863915,0.9987534,0.0001413074,0.0005458815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8621448,"threshold_uncertainty_score":0.4611714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}