{"id":"W6924623641","doi":"10.15468/dl.uxuj4v","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Emotional Intelligence and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Column (typography)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003372569,0.0002724881,0.0002433766,0.0001147094,0.0004551378,0.000072781,0.0007453843,0.0003064262,0.5133056],"category_scores_gemma":[0.00004717476,0.0002951452,0.0001781114,0.0003893602,0.0001634209,0.0006635402,0.0003438099,0.0005469581,0.4827229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256128,"about_ca_system_score_gemma":0.0001174605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216704,"about_ca_topic_score_gemma":0.00001420838,"domain_scores_codex":[0.9982931,0.0001056903,0.0004344208,0.0002696447,0.0005490102,0.0003481471],"domain_scores_gemma":[0.9987503,0.0000311005,0.0003146245,0.0006084322,0.0001653527,0.0001302367],"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":[0.00009644976,0.00007747929,0.00134947,0.00006753829,0.00005432201,0.00000514818,0.0001672052,0.00001834613,4.752338e-9,0.000001580596,0.9960712,0.002091234],"study_design_scores_gemma":[0.0001776451,0.00007836332,0.0002493983,0.000001034445,0.00003651912,0.00001639055,0.0005271045,4.85373e-8,4.380619e-7,0.000001897612,0.9986205,0.0002906627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004886554,0.00005727217,0.000002981552,0.0001309884,0.002468894,0.0002743575,0.9950078,0.00007823928,0.001490821],"genre_scores_gemma":[0.00001458974,0.00008671428,3.43292e-7,0.001234391,0.000003048883,0.00001593942,0.998643,1.486608e-8,0.000001953575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03058268,"threshold_uncertainty_score":0.9999501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03574870127860528,"score_gpt":0.287037815625337,"score_spread":0.2512891143467317,"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."}}