{"id":"W4237456253","doi":"10.4095/300652","title":"Tactile Maps of Canada Cross, Section: Relief of Canada","year":2006,"lang":"en","type":"report","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Cross section (physics); Geography; Cartography; Geology; Computer science; Physics; Operating system; Astronomy","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":[0.0001525107,0.0007454281,0.0003529779,0.004631134,0.002935774,0.002679919,0.0007919631,0.0002906024,0.1547636],"category_scores_gemma":[0.001655252,0.0002969475,0.0003137247,0.01750124,0.0005418956,0.000669384,0.001067862,0.0006117165,0.01827652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01399128,"about_ca_system_score_gemma":0.02712366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9846963,"about_ca_topic_score_gemma":0.9936221,"domain_scores_codex":[0.9994873,0.00001560943,0.00001276526,0.00004787207,0.0003004508,0.0001359302],"domain_scores_gemma":[0.9980512,0.00006215672,0.00004653911,0.00005035165,0.001618827,0.0001710325],"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":[0.00006140017,0.00001415243,0.005522343,0.0002896498,0.00001034275,0.0001006529,0.0005064038,0.0004973091,0.0002500049,0.003462902,0.9509946,0.03829022],"study_design_scores_gemma":[0.00001941504,0.000008571879,0.06123698,0.0001860501,0.000008372634,0.00009315134,0.00248143,0.0003101124,0.0002051026,0.0004633011,0.9349517,0.00003576205],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01164638,0.001023584,0.001123265,0.001182911,0.0003551727,0.0003659978,0.5642745,0.001300781,0.4187273],"genre_scores_gemma":[0.1655608,0.004557746,0.01022001,0.0006585442,0.00009882102,0.0006412035,0.3820189,0.001164945,0.4350791],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1547636,"threshold_uncertainty_score":0.5177358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01608712169091096,"score_gpt":0.2707991947990588,"score_spread":0.2547120731081478,"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."}}