{"id":"W6961894782","doi":"10.15468/dl.tgmf1p","title":"Occurrence Download","year":2018,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Feminist Theory and Gender Studies","field":"Social Sciences","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007880894,0.0002012763,0.0002250855,0.00005187372,0.001545888,0.0001665609,0.0006120242,0.0003455233,0.003096049],"category_scores_gemma":[0.0004374657,0.0002105994,0.000125689,0.0003008741,0.001093672,0.0007548232,0.0002896625,0.0001782094,0.1903762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000299844,"about_ca_system_score_gemma":0.0002740843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001748007,"about_ca_topic_score_gemma":0.000379135,"domain_scores_codex":[0.9984696,0.0001796727,0.0002670267,0.0001921636,0.0005438838,0.0003476504],"domain_scores_gemma":[0.9989213,0.00003718995,0.0002275344,0.0003295699,0.0003266191,0.0001578029],"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":[0.00003564656,0.00002092296,0.0003125634,0.00004880077,0.0000313745,8.230879e-7,0.001933657,1.68211e-7,1.272861e-9,0.000002897412,0.9970537,0.0005593907],"study_design_scores_gemma":[0.0001297844,0.00002760513,0.00002285302,0.000001878445,0.00003742228,4.438003e-7,0.003690324,3.257006e-9,3.637242e-7,0.00001395725,0.9958515,0.0002238899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001109443,0.00002395098,0.000001187084,0.0003058248,0.00120686,0.000239197,0.9941208,0.00009186937,0.003899383],"genre_scores_gemma":[0.00003306256,0.0001738108,7.212491e-7,0.0005083685,0.000007867726,0.000002750387,0.9992726,5.908164e-9,8.264688e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1872801,"threshold_uncertainty_score":0.999754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0260971674925013,"score_gpt":0.2692973702748625,"score_spread":0.2432002027823612,"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."}}