{"id":"W6950545493","doi":"10.5683/sp3/a5byvx","title":"Lac Poutrincourt (East) Quebec. 1:50,000. Map Sheet 032G01, ed. 1, 1966","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; General partnership; Raster graphics; Natural (archaeology); Geographic information system; Aerial photography; Digital mapping; Viewshed analysis","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":[0.0005881691,0.002198947,0.001420969,0.004923412,0.001662018,0.003633094,0.002189517,0.0007487126,0.1890652],"category_scores_gemma":[0.003566452,0.000815931,0.0007785132,0.01861137,0.0004563646,0.001376211,0.001102095,0.001388728,0.1299527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01084659,"about_ca_system_score_gemma":0.01705223,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9525522,"about_ca_topic_score_gemma":0.9710432,"domain_scores_codex":[0.9992175,0.00004366577,0.00004413345,0.0002028219,0.0002884971,0.0002033159],"domain_scores_gemma":[0.9975667,0.0001411247,0.0001413473,0.0003233256,0.001596744,0.0002307621],"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":[0.00001564244,0.000003926683,0.0005940979,0.0001428203,0.00000886593,0.000009249491,0.00001953786,0.00007378934,0.00002959055,0.0002298458,0.9956136,0.003258931],"study_design_scores_gemma":[0.00003392767,0.000003132252,0.009038238,0.0002047133,0.00000870089,0.00001989634,0.00009002262,0.0001275468,0.0000910803,0.0002064956,0.9901546,0.00002151754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006562431,0.00006732999,0.00003306467,0.00002846609,0.00001730751,0.000005871414,0.997161,0.0001472803,0.002474056],"genre_scores_gemma":[0.0008757425,0.0001446972,0.0002684091,0.0000330592,0.000007420215,0.00004370658,0.9901353,0.0001666381,0.008325033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1890652,"threshold_uncertainty_score":0.6324862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526594668631859,"score_gpt":0.2604494894713332,"score_spread":0.2451835427850146,"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."}}