{"id":"W6943604887","doi":"10.15468/dl.pz3dzm","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Vocational and Entrepreneurial Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Real world data; Data set","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":[0.0008216731,0.00191361,0.001501189,0.004868299,0.001082355,0.00253111,0.002657391,0.002090131,0.1364037],"category_scores_gemma":[0.005536272,0.0008159819,0.001309268,0.009357301,0.000407753,0.002328972,0.002344061,0.001898687,0.215706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682723,"about_ca_system_score_gemma":0.00246416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02627135,"about_ca_topic_score_gemma":0.04601551,"domain_scores_codex":[0.998929,0.0001380431,0.000140111,0.0003748179,0.0002367274,0.0001813253],"domain_scores_gemma":[0.9977245,0.0005873427,0.0002017158,0.0005789021,0.0006419233,0.0002656546],"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":[0.00003074782,0.00001131542,0.0004982959,0.0004594176,0.00001374881,0.0000169313,0.00002193624,0.0001278815,0.00009764072,0.0003494215,0.9967921,0.001580486],"study_design_scores_gemma":[0.00006453058,0.00000822459,0.001967437,0.0001710481,0.00001317908,0.0000414556,0.00008206604,0.000212048,0.0001689285,0.0007164453,0.9965379,0.00001672477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005474133,0.00003568526,0.00004820362,0.00004541337,0.00001512382,0.000005348393,0.9985701,0.0004680236,0.0007573868],"genre_scores_gemma":[0.0001740922,0.000037153,0.0002029152,0.00004854708,0.000004073303,0.0000331369,0.9988432,0.0001261064,0.0005308436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8635963,"threshold_uncertainty_score":0.4563157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02918726914707288,"score_gpt":0.2787533166281493,"score_spread":0.2495660474810764,"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."}}