{"id":"W2077605907","doi":"10.3138/j053-1p10-7223-116x","title":"The Stewart Museum Globe Symposium, Montreal, 19–22 October 2000","year":2006,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Historical Geography and Cartography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Globe; Library science; Geography; Art history; History; Medicine; Computer science; Ophthalmology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002392188,0.0002354184,0.0001762106,0.0007286506,0.005064802,0.001653079,0.0007855502,0.0001882942,0.00005043284],"category_scores_gemma":[0.000231599,0.0001579076,0.0005002635,0.001308946,0.0007923854,0.001278623,0.00006008954,0.0002954552,0.000006661028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008710766,"about_ca_system_score_gemma":0.0002142677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003816888,"about_ca_topic_score_gemma":0.003585929,"domain_scores_codex":[0.9969595,0.0002532758,0.0008241835,0.000189494,0.00126134,0.0005122144],"domain_scores_gemma":[0.9970719,0.0004298531,0.0005630597,0.0002202203,0.001494206,0.0002207989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004557612,0.0001899506,0.0412221,0.00002813262,0.0005406342,0.000004591325,0.01054429,0.0006490134,0.00004739279,0.7552472,0.1548346,0.03623625],"study_design_scores_gemma":[0.000723797,0.00007186174,0.007601111,0.00002138933,0.00007409964,0.00002818866,0.002923037,0.0003527921,0.000006813723,0.02116245,0.9668142,0.0002202116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3386964,0.02829881,0.1046413,0.2327392,0.05296481,0.01121467,0.001055807,0.002080563,0.2283085],"genre_scores_gemma":[0.9799032,0.01360289,0.000112898,0.003008705,0.001791061,0.000200142,0.0002965782,0.00002527231,0.001059263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8119796,"threshold_uncertainty_score":0.9993833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006388604808082338,"score_gpt":0.2681978718874399,"score_spread":0.2618092670793576,"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."}}