{"id":"W6906112454","doi":"10.15468/dl.zozfhv","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); Nova scotia; 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":[0.0009382237,0.001918765,0.001411958,0.00549185,0.0008707631,0.00237852,0.002661866,0.001806746,0.1517111],"category_scores_gemma":[0.005630965,0.0008270828,0.00111581,0.01005185,0.0003968791,0.00216939,0.002608439,0.001864181,0.2153489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001652019,"about_ca_system_score_gemma":0.002546925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0249293,"about_ca_topic_score_gemma":0.04343992,"domain_scores_codex":[0.9990193,0.0001272152,0.0001236205,0.0003257806,0.0002290036,0.0001750798],"domain_scores_gemma":[0.9975026,0.000605453,0.0002380309,0.0006691632,0.0006580303,0.0003266015],"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":[0.00002663451,0.000009806859,0.0003553739,0.0004588255,0.00001391969,0.0000135203,0.00001968817,0.0001035738,0.0001018683,0.0003416858,0.9972024,0.001352705],"study_design_scores_gemma":[0.00006422078,0.000007488829,0.001965616,0.000180741,0.00001308636,0.0000334038,0.00005922499,0.0001305894,0.0001700629,0.0007033723,0.9966565,0.00001572581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004168122,0.00002630143,0.00003895211,0.00003316388,0.00001124392,0.00000559218,0.9988141,0.0003740179,0.0006549898],"genre_scores_gemma":[0.0001504846,0.00003160914,0.000168066,0.00004020458,0.000003381478,0.00003581125,0.9989925,0.0001311914,0.0004467885],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.848289,"threshold_uncertainty_score":0.5075241,"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."}}