{"id":"W6943177721","doi":"10.15468/dl.lqei3o","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); Range (aeronautics); Data collection; Real world 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":[0.0009269323,0.00187126,0.001574229,0.005355368,0.0009185331,0.002418293,0.002811147,0.001959093,0.1453249],"category_scores_gemma":[0.006010719,0.0008137139,0.001132755,0.01048335,0.0004251313,0.002158533,0.002402864,0.001927598,0.1963542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484392,"about_ca_system_score_gemma":0.002302665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0206016,"about_ca_topic_score_gemma":0.03480629,"domain_scores_codex":[0.9990037,0.0001293761,0.0001341998,0.000345401,0.000220883,0.0001664492],"domain_scores_gemma":[0.997566,0.0006748468,0.0002427454,0.0006269063,0.000612126,0.0002774803],"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":[0.00003031412,0.00001213379,0.000454424,0.0006084795,0.00001819591,0.00001712167,0.00002397242,0.0001411906,0.000121485,0.0003910305,0.9966768,0.001504762],"study_design_scores_gemma":[0.00007338022,0.00000847153,0.002048115,0.0002037801,0.0000162952,0.00004024172,0.00007249723,0.0001498849,0.000185768,0.000726397,0.996458,0.00001712972],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004461563,0.00002950592,0.00003872175,0.00003181995,0.000011045,0.000004890411,0.9989698,0.0003117536,0.0005578339],"genre_scores_gemma":[0.0001569766,0.00003286824,0.0001623347,0.00003625554,0.000003268274,0.00003382019,0.999087,0.000104762,0.0003827322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8546751,"threshold_uncertainty_score":0.4861604,"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."}}