{"id":"W6906169688","doi":"10.15468/dl.xf5yva","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0009209925,0.00206986,0.001516612,0.004773323,0.0009772293,0.002431862,0.002663388,0.001971331,0.1575774],"category_scores_gemma":[0.005866851,0.000923723,0.001218569,0.009683019,0.0004350542,0.002208416,0.002502269,0.001830079,0.213754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147616,"about_ca_system_score_gemma":0.002301194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0207631,"about_ca_topic_score_gemma":0.03360626,"domain_scores_codex":[0.9989763,0.0001382236,0.0001316201,0.0003682808,0.000212075,0.0001734599],"domain_scores_gemma":[0.997596,0.0006865843,0.0002263922,0.0006134383,0.0006040896,0.000273489],"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":[0.00003332114,0.00001233358,0.0004044733,0.0005444802,0.00001428172,0.00001497422,0.00002126485,0.00012863,0.0001287261,0.0003550166,0.9968922,0.00145034],"study_design_scores_gemma":[0.00008276349,0.00001104007,0.00201122,0.0001925201,0.00001543677,0.00003862244,0.00007069867,0.0001639443,0.0002101668,0.0007891713,0.9963953,0.00001919242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004706108,0.00002573894,0.00004058926,0.00003304639,0.00001212421,0.000005116552,0.9988404,0.0003760815,0.0006199131],"genre_scores_gemma":[0.0001591337,0.00003174329,0.0001899854,0.00004462374,0.000003406384,0.00003981467,0.9989362,0.0001426446,0.0004524073],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8424226,"threshold_uncertainty_score":0.5271488,"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."}}