{"id":"W6950368928","doi":"10.5683/sp3/mtp5j5","title":"Sydenham (East) Ontario. 1:50,000. Map Sheet 031C07, ed. 4, 1963","year":2021,"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); Aerial photography; Orthophoto; Viewshed analysis; Digital mapping","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":[0.0004211947,0.001736834,0.001228404,0.004339119,0.00162927,0.003386045,0.001535878,0.0006057093,0.1939931],"category_scores_gemma":[0.002656775,0.0009776293,0.0006986261,0.01635748,0.00055995,0.001385293,0.001304089,0.0009221319,0.1501706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008871858,"about_ca_system_score_gemma":0.0150175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8944277,"about_ca_topic_score_gemma":0.9473665,"domain_scores_codex":[0.9993493,0.00002778726,0.00004858229,0.0001616896,0.0002582289,0.0001543787],"domain_scores_gemma":[0.9983147,0.0001108039,0.0001512128,0.0002347401,0.0009753202,0.0002132349],"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":[0.00001866907,0.000002423945,0.0006302211,0.0002791493,0.000007681611,0.00001173592,0.00004634298,0.00004834294,0.00004013164,0.0002571956,0.9953083,0.003349699],"study_design_scores_gemma":[0.00002141371,0.000001976632,0.006984954,0.000136917,0.00000678818,0.00001709135,0.0001018654,0.00004159732,0.00006721439,0.0001503279,0.9924584,0.00001149636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000742807,0.00007771028,0.00002761386,0.00003457409,0.00001400665,0.000005167809,0.996293,0.0001443858,0.003329083],"genre_scores_gemma":[0.0007354777,0.0002164783,0.000218747,0.00002814726,0.000007544126,0.00003486968,0.9889883,0.00018414,0.009586196],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1939931,"threshold_uncertainty_score":0.6489717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01726684178529768,"score_gpt":0.2532365934227627,"score_spread":0.235969751637465,"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."}}