{"id":"W6905838564","doi":"10.15468/dl.xuewb4","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; The Internet","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":[0.001011543,0.002001759,0.001524264,0.004914781,0.001008779,0.002580115,0.002686067,0.002092218,0.1506036],"category_scores_gemma":[0.006137984,0.0008742619,0.001266758,0.009274631,0.0004487585,0.002322057,0.002527797,0.001975643,0.2102816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153654,"about_ca_system_score_gemma":0.002285888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986365,"about_ca_topic_score_gemma":0.03302334,"domain_scores_codex":[0.9989605,0.0001468354,0.0001325562,0.0003655695,0.0002280288,0.0001665535],"domain_scores_gemma":[0.9974153,0.0007838741,0.0002310887,0.0006708591,0.0006058491,0.0002930464],"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":[0.00002890981,0.00001232316,0.0003911333,0.0005509051,0.00001440441,0.00001544385,0.00002215421,0.0001260604,0.0001186787,0.0003428433,0.9969127,0.001464491],"study_design_scores_gemma":[0.0000782931,0.00001029349,0.001996413,0.0002099619,0.00001509148,0.00004046104,0.00007971534,0.0001737235,0.0001990056,0.0007465855,0.9964324,0.00001795009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004936899,0.00003203241,0.00004567698,0.00004403093,0.00001512556,0.000006283583,0.9987605,0.0004117918,0.0006351732],"genre_scores_gemma":[0.0001731463,0.00003694429,0.0002015122,0.00005304881,0.000004259846,0.00004724981,0.9988756,0.000140602,0.0004677676],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8493963,"threshold_uncertainty_score":0.5038193,"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."}}