{"id":"W6950661836","doi":"10.5683/sp3/6qafbk","title":"Saint Donat De Montcalm (East) Quebec. 1:50,000. Map Sheet 031J08, ed. 1, 1956","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"SAINT; Georeference; General partnership; Natural (archaeology); Government (linguistics); Raster graphics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004328813,0.001729054,0.001124404,0.003741794,0.001573905,0.003159901,0.001876322,0.000662759,0.1924589],"category_scores_gemma":[0.002660236,0.0006957468,0.0005879388,0.01574103,0.000422558,0.001161231,0.0008178077,0.00134284,0.1036414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01259812,"about_ca_system_score_gemma":0.01643588,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9722357,"about_ca_topic_score_gemma":0.98247,"domain_scores_codex":[0.9994505,0.00002741159,0.00002832383,0.0001356282,0.0002007554,0.0001573582],"domain_scores_gemma":[0.9980221,0.0001011689,0.0001015424,0.0001981426,0.001398049,0.0001790673],"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":[0.00001912824,0.000005310272,0.0009487991,0.0001324739,0.000008256712,0.00001133239,0.00002538335,0.0001002859,0.00002748576,0.0003089215,0.9941815,0.004231093],"study_design_scores_gemma":[0.00004470967,0.000003457712,0.01460339,0.0001996841,0.000008765671,0.00001968585,0.0001258512,0.0002051348,0.0001094651,0.0002280884,0.9844318,0.00002015969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001285907,0.00007757598,0.00004010593,0.00003948218,0.0000177905,0.000007900715,0.9959283,0.000142282,0.003617936],"genre_scores_gemma":[0.001714286,0.0002012891,0.0003322399,0.0000435061,0.000008201103,0.00005012968,0.9816977,0.0001715877,0.01578113],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1924589,"threshold_uncertainty_score":0.6438393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589400576675476,"score_gpt":0.2450705193403436,"score_spread":0.2291765135735888,"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."}}