{"id":"W6943602514","doi":"10.15468/dl.vtr1ku","title":"Occurrence Download","year":2016,"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); Confidentiality; Set (abstract data type)","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":[0.00106497,0.002076555,0.001711311,0.005100728,0.0009515597,0.002668548,0.003176108,0.002156569,0.1417989],"category_scores_gemma":[0.006324167,0.0008881277,0.001208347,0.01002822,0.000444172,0.002410163,0.002618665,0.002093761,0.2069641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001605604,"about_ca_system_score_gemma":0.002374501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02010878,"about_ca_topic_score_gemma":0.03377379,"domain_scores_codex":[0.9989108,0.0001513195,0.0001414871,0.0003723394,0.000244282,0.000179861],"domain_scores_gemma":[0.9975294,0.0006713385,0.0002488455,0.0006683721,0.0005890463,0.0002928489],"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":[0.00002995466,0.0000120498,0.0004039471,0.0005473635,0.00001678317,0.00001497973,0.00002184057,0.0001333991,0.0001096251,0.0003742875,0.996979,0.001356748],"study_design_scores_gemma":[0.00008331489,0.000008816148,0.001968306,0.0002076562,0.00001599408,0.00004073017,0.00006729739,0.0001677783,0.0001973869,0.0008315688,0.9963931,0.00001797203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004381188,0.00003160916,0.00004270045,0.00003431427,0.0000112411,0.000005091841,0.9988763,0.0003600434,0.0005949073],"genre_scores_gemma":[0.0001491368,0.0000322038,0.0001653786,0.0000376872,0.000003125503,0.00003690258,0.9990693,0.0001161281,0.0003900554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8582011,"threshold_uncertainty_score":0.4743645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}