{"id":"W6969681721","doi":"10.5683/sp3/gcvkyf","title":"Hamilton (East) Ontario. 1:50,000. Map Sheet 030M05, ed. 4, 1952","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); Digital mapping; Geographic information system; Government (linguistics); Aerial photography; 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":[0.0003926623,0.001788709,0.001206583,0.004443656,0.001552631,0.003326206,0.001513182,0.0005972745,0.1715929],"category_scores_gemma":[0.002500952,0.0009902196,0.0006636857,0.01872851,0.0005947772,0.001317874,0.001125885,0.000931979,0.1189067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009718998,"about_ca_system_score_gemma":0.01764244,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9176763,"about_ca_topic_score_gemma":0.9607086,"domain_scores_codex":[0.9993292,0.00002730076,0.00004774195,0.0001692007,0.0002672021,0.000159331],"domain_scores_gemma":[0.9983466,0.00009172496,0.0001466969,0.0002163855,0.001003927,0.0001945413],"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":[0.00001842113,0.000002474633,0.0006893779,0.0002927617,0.000009575742,0.00001254541,0.00004200052,0.00005101642,0.0000412293,0.0002604351,0.9950379,0.003542262],"study_design_scores_gemma":[0.00002375026,0.000002053155,0.008814704,0.0001217915,0.000008265714,0.00001668959,0.00009153837,0.00004150862,0.00006631306,0.0001462186,0.9906556,0.00001147984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008586677,0.0001158129,0.00003180096,0.00003922953,0.0000194042,0.000006691505,0.9961843,0.0001335765,0.00338331],"genre_scores_gemma":[0.001197187,0.000311733,0.0002872605,0.00004627747,0.00001201545,0.00004603195,0.9859734,0.0001924758,0.01193364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9176763,"threshold_uncertainty_score":0.5740355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01896856935435601,"score_gpt":0.2527824739960823,"score_spread":0.2338139046417263,"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."}}