{"id":"W6887208533","doi":"10.15468/dl.sheepw","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); Range (aeronautics); Alien","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":[0.00101418,0.001926153,0.001592594,0.004845433,0.001020041,0.002590946,0.002760659,0.002119662,0.1586934],"category_scores_gemma":[0.00621501,0.000923463,0.00125759,0.009261099,0.0004515548,0.002390433,0.002623937,0.001993395,0.2245789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559024,"about_ca_system_score_gemma":0.002319679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02063679,"about_ca_topic_score_gemma":0.03315664,"domain_scores_codex":[0.998974,0.0001445734,0.000131952,0.0003610212,0.0002199568,0.0001685563],"domain_scores_gemma":[0.997467,0.0007430554,0.0002267404,0.0006576492,0.0006223427,0.0002831715],"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":[0.00002948918,0.00001186631,0.0003805667,0.0005686731,0.00001478418,0.00001542155,0.00002336522,0.0001186599,0.0001215992,0.0003604598,0.9969272,0.001427924],"study_design_scores_gemma":[0.00007616358,0.000009415587,0.001986907,0.0002136305,0.00001501971,0.00003875237,0.00007941148,0.0001547479,0.0001897999,0.0007398771,0.9964785,0.0000177741],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000458672,0.0000296138,0.00004627227,0.00004110215,0.00001385683,0.00000596018,0.9987677,0.0004038604,0.0006456857],"genre_scores_gemma":[0.0001632824,0.0000354079,0.0001988023,0.00004994075,0.00000387537,0.00004548433,0.9988882,0.0001483778,0.0004665648],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8413066,"threshold_uncertainty_score":0.5308822,"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."}}