{"id":"W6943445236","doi":"10.15468/dl.n8snsq","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); Data collection; Missing data","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":[0.001136989,0.001988907,0.00170124,0.005308618,0.001058568,0.00283467,0.003000486,0.002142675,0.1702791],"category_scores_gemma":[0.00663893,0.001002819,0.001206678,0.01038683,0.0004696907,0.002502758,0.002715701,0.002113649,0.2333108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638823,"about_ca_system_score_gemma":0.002430205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02050149,"about_ca_topic_score_gemma":0.03333789,"domain_scores_codex":[0.9988155,0.0001601772,0.0001563652,0.0004154874,0.0002632055,0.0001891816],"domain_scores_gemma":[0.9972439,0.0008112356,0.0002571448,0.0007151432,0.0006655298,0.0003071729],"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":[0.00002837076,0.00001052899,0.0003527438,0.0005354343,0.00001503739,0.00001410947,0.00002372784,0.0001158099,0.0001142096,0.0003902155,0.9970255,0.00137422],"study_design_scores_gemma":[0.00006901321,0.000007394211,0.001708279,0.0001996824,0.00001476985,0.00003558389,0.00007120366,0.0001429055,0.0001788637,0.0007704655,0.9967842,0.00001769511],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003541711,0.00002484695,0.00004598265,0.00003355774,0.0000114869,0.000004698436,0.9988756,0.0003634332,0.0006050462],"genre_scores_gemma":[0.0001419984,0.00003243692,0.0001951664,0.00004235904,0.000003268666,0.00003931809,0.9989484,0.0001598967,0.00043718],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8297209,"threshold_uncertainty_score":0.5696404,"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."}}