{"id":"W2758238415","doi":"","title":"An update to the analysis of the Canadian Spatial Reference System","year":2015,"lang":"en","type":"article","venue":"2015 AGU Fall Meeting","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Computer science; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003636189,0.00007845832,0.0001858857,0.0002064024,0.0009955914,0.0001079983,0.0006385824,0.00006135719,0.000002979804],"category_scores_gemma":[0.0003930922,0.00004665726,0.00006781245,0.001385338,0.0001135766,0.0001274004,0.00006779849,0.00008227376,0.00005682241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002147116,"about_ca_system_score_gemma":0.0003712432,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9676198,"about_ca_topic_score_gemma":0.9980593,"domain_scores_codex":[0.9982517,0.0003706889,0.0003124509,0.000119614,0.0006526845,0.0002928198],"domain_scores_gemma":[0.998501,0.00005024568,0.0002251669,0.000368374,0.0006266483,0.0002285632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000006999443,0.00000868016,0.7634599,0.00001909894,0.0003931999,8.774739e-7,0.1967921,0.005698728,0.000005395588,0.02538644,0.007067135,0.001161473],"study_design_scores_gemma":[0.0002366261,0.00004037568,0.3291301,0.0001444027,0.000549852,9.972389e-7,0.3826751,0.005101939,0.00001568997,0.00008529387,0.2816354,0.0003843265],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7779433,0.00009615106,0.00009645824,0.005734207,0.0008994265,0.000582819,0.00005137251,0.0000680674,0.2145282],"genre_scores_gemma":[0.9994293,0.000001605473,0.00007282351,0.0002083633,0.0001172536,0.00001825332,0.000004161567,0.000003650157,0.0001445184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4343298,"threshold_uncertainty_score":0.7657385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04274459870194754,"score_gpt":0.3030128983561276,"score_spread":0.2602682996541801,"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."}}