{"id":"W6962824487","doi":"10.15468/dl.wfyidj","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); Order (exchange); 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":[0.0009997778,0.001993789,0.00164702,0.005221245,0.0009590805,0.002514388,0.00298784,0.002058024,0.1417948],"category_scores_gemma":[0.006239544,0.0008480186,0.001215768,0.01001724,0.0004553003,0.002278966,0.002571826,0.002033146,0.2018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525497,"about_ca_system_score_gemma":0.002364881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01965117,"about_ca_topic_score_gemma":0.03372183,"domain_scores_codex":[0.9989517,0.0001386589,0.0001392456,0.0003664838,0.0002329522,0.0001710225],"domain_scores_gemma":[0.9974637,0.0007002979,0.0002465598,0.000663061,0.0006349573,0.0002913602],"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":[0.0000310301,0.00001254931,0.0004259111,0.0006171112,0.00001839006,0.00001620579,0.00002478259,0.0001399337,0.0001209257,0.0003713639,0.9967092,0.001512362],"study_design_scores_gemma":[0.00007726184,0.000008964696,0.001969063,0.0002071315,0.00001678238,0.00003917479,0.00007246611,0.000160232,0.0001883297,0.0007428509,0.9964995,0.00001810439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004434412,0.00003136311,0.00004213511,0.00003357117,0.00001220072,0.000005384896,0.9989255,0.0003492196,0.000556189],"genre_scores_gemma":[0.0001515255,0.0000327671,0.0001741543,0.00003803317,0.000003381125,0.00003751057,0.9990826,0.000111318,0.0003687558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8582052,"threshold_uncertainty_score":0.4743508,"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."}}