{"id":"W6932007842","doi":"10.5683/sp3/vbvmvh","title":"Saint Gabriel De Gaspé (East) Quebec. 1:50,000. Map Sheet 022A10, ed. 1, 1958","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Machine Learning and ELM","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; SAINT; Raster graphics; Natural (archaeology); Government (linguistics); Aerial photography","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":[],"category_scores_codex":[0.001025019,0.0005476164,0.0005872764,0.0003265503,0.0004530064,0.0005197677,0.003806185,0.0003169428,0.005844675],"category_scores_gemma":[0.0002039141,0.0005790156,0.0002821173,0.0003344358,0.00008708436,0.0002148683,0.001754028,0.001137427,0.0001340502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005742426,"about_ca_system_score_gemma":0.0005821555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.673937,"about_ca_topic_score_gemma":0.06143111,"domain_scores_codex":[0.9959712,0.0005523043,0.0005136236,0.001094199,0.0009089431,0.000959701],"domain_scores_gemma":[0.996344,0.0001673224,0.000358218,0.002672089,0.0000655351,0.000392826],"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":[0.00001498149,0.0001151021,0.00001384572,0.0000983292,0.00005529849,0.0002573286,0.0001916418,0.0004288838,7.822153e-7,0.001992509,0.9846177,0.01221359],"study_design_scores_gemma":[0.0002864085,0.0001169542,0.0004414088,0.00005150228,0.00003850492,0.00009852681,0.00002498013,0.001984256,0.000001510876,0.0003770856,0.9959369,0.0006419605],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004889362,0.0006278873,0.004405906,0.003064348,0.0008940499,0.0002337359,0.9888555,0.0003425018,0.001571153],"genre_scores_gemma":[0.000007587475,0.0002374343,0.001999726,0.003330068,0.0006350332,0.0001174602,0.9912182,0.00004556916,0.002408907],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6125059,"threshold_uncertainty_score":0.9996662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009842086929356167,"score_gpt":0.2452521019966894,"score_spread":0.2354100150673332,"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."}}