{"id":"W6962199045","doi":"10.15468/dl.ucverb","title":"Occurrence Download","year":2017,"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); Set (abstract data type); Confidentiality","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":[0.0008573238,0.001934699,0.001809915,0.005949338,0.001051589,0.003019707,0.002680958,0.00205736,0.174473],"category_scores_gemma":[0.00625489,0.0009257914,0.001445484,0.01080931,0.0004350799,0.002687479,0.00319483,0.002010542,0.2462923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001550416,"about_ca_system_score_gemma":0.002222396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01940709,"about_ca_topic_score_gemma":0.02813955,"domain_scores_codex":[0.9989403,0.000121085,0.0001417897,0.0003734892,0.0002397384,0.0001835567],"domain_scores_gemma":[0.9976145,0.0006187424,0.0002247543,0.0006284135,0.0006315522,0.0002819874],"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":[0.00004523453,0.00001285314,0.0006580114,0.0009246219,0.00002264428,0.00002412922,0.00003465745,0.0001485811,0.0001894507,0.0005058115,0.9948339,0.002600064],"study_design_scores_gemma":[0.0000608402,0.000008517788,0.002019369,0.0002328307,0.00001575829,0.0000448306,0.00007857599,0.0001602091,0.0001643558,0.0007176974,0.9964809,0.00001625132],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005585682,0.0000457684,0.00005886337,0.00004420818,0.00001825277,0.000005918836,0.9983174,0.0006608443,0.0007928619],"genre_scores_gemma":[0.000205973,0.00005867671,0.00026567,0.00006366576,0.000005064569,0.00004075599,0.9985721,0.0002420134,0.0005461088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.825527,"threshold_uncertainty_score":0.5836704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387106755018206,"score_gpt":0.2528130017232275,"score_spread":0.2289419341730454,"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."}}