{"id":"W6924721880","doi":"10.15468/dl.typr2b","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Disability Rights and Representation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0006855043,0.000170585,0.0001964903,0.00006650713,0.001595441,0.0002456546,0.0006327061,0.000243555,0.1403657],"category_scores_gemma":[0.0002479528,0.0001667089,0.0001600177,0.0004126093,0.0007106496,0.001209707,0.0002942516,0.0002715518,0.04902607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007430555,"about_ca_system_score_gemma":0.0004134432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503,"about_ca_topic_score_gemma":0.0006163444,"domain_scores_codex":[0.997887,0.0002849365,0.0003190477,0.0002193715,0.000990684,0.000298988],"domain_scores_gemma":[0.9989551,0.00003801979,0.0002597596,0.0003742946,0.0001986698,0.0001741505],"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":[0.00002441119,0.00005697954,0.0006470318,0.00004713256,0.00001655849,9.300257e-7,0.0007710058,0.000008561909,2.816407e-9,0.000005113369,0.9971212,0.001301125],"study_design_scores_gemma":[0.0001592356,0.00001844349,0.00004641631,5.344081e-7,0.00003290738,4.547109e-7,0.003066119,1.835466e-8,1.201593e-7,0.00001312547,0.9964622,0.0002004085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001885652,0.0000100578,9.029868e-7,0.0009896917,0.001082486,0.0004477832,0.9951358,0.00009232113,0.002052403],"genre_scores_gemma":[0.00001399806,0.0001103763,3.748714e-7,0.0003053466,0.000002831124,0.000007587016,0.9995582,7.659979e-9,0.000001241799],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09133969,"threshold_uncertainty_score":0.9997044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02411323178313497,"score_gpt":0.2752411385992995,"score_spread":0.2511279068161645,"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."}}