{"id":"W6906098398","doi":"10.15468/dl.ztva21","title":"Occurrence Download","year":2019,"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 set; 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":[0.0009183817,0.002192497,0.001625236,0.004947833,0.001057504,0.002623856,0.003019189,0.00226422,0.1511681],"category_scores_gemma":[0.005832861,0.0009656653,0.001301587,0.009161075,0.000466277,0.002412894,0.002650072,0.002152056,0.2192533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719433,"about_ca_system_score_gemma":0.002357606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02118872,"about_ca_topic_score_gemma":0.03476289,"domain_scores_codex":[0.9989966,0.0001377993,0.0001221058,0.0003593584,0.0002219444,0.0001622701],"domain_scores_gemma":[0.9978331,0.0006427045,0.0002007917,0.0005707174,0.0005102527,0.0002424293],"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":[0.00003052405,0.00001330057,0.0003819993,0.0005594752,0.00001570344,0.00001658693,0.00002457026,0.0001321254,0.0001118657,0.0003663663,0.9968348,0.00151268],"study_design_scores_gemma":[0.00008229939,0.000009990755,0.00192087,0.0002209664,0.00001701718,0.00004687802,0.00007893707,0.0002143032,0.0002147849,0.0008817962,0.9962931,0.00001893814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005124534,0.00003517335,0.00005070307,0.00004273582,0.00001359512,0.000006334841,0.9986147,0.0005004621,0.0006850242],"genre_scores_gemma":[0.000166255,0.00003656373,0.0002025348,0.00005038812,0.000003303829,0.00004656088,0.9988694,0.0001545376,0.0004705093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8488319,"threshold_uncertainty_score":0.5057076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}