{"id":"W2402653364","doi":"10.1016/j.soscij.2007.10.013","title":"The Other Alberta. Decoding a Political Enigma","year":2007,"lang":"en","type":"article","venue":"The Social Science Journal","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Politics; Decoding methods; Political science; Telecommunications; Computer science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008873918,0.0003284684,0.0002635814,0.0008050243,0.01133935,0.006699185,0.0006333514,0.002865316,0.07631096],"category_scores_gemma":[0.002038372,0.0002141884,0.0001804229,0.001191394,0.004656473,0.002532181,0.002188141,0.004343248,0.01449516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0119535,"about_ca_system_score_gemma":0.0134195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6281267,"about_ca_topic_score_gemma":0.8115593,"domain_scores_codex":[0.9991942,0.0001439114,0.00001480991,0.00008717203,0.0003171758,0.000242705],"domain_scores_gemma":[0.9991904,0.0001158579,0.00003116412,0.00006481449,0.000323558,0.000274251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001681266,0.000005295316,0.0003837762,0.0000318553,0.000002431814,0.00008503589,0.002408612,0.00002095507,0.00007542929,0.1774448,0.7855166,0.03400839],"study_design_scores_gemma":[0.000002106225,0.000001088594,0.0003149362,0.00004558199,0.000001251499,0.00002523543,0.001808636,0.00001040114,0.00003295319,0.004975209,0.992779,0.000003679229],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001430404,0.009403106,0.000373723,0.1585657,0.00549116,0.000009103421,0.0002744959,0.00009127828,0.824361],"genre_scores_gemma":[0.04950267,0.006245184,0.0006676264,0.04126757,0.0009413242,0.00001296086,0.0002308703,0.0001594241,0.9009724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3718733,"threshold_uncertainty_score":0.7481267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01818304310022441,"score_gpt":0.3267547212263379,"score_spread":0.3085716781261135,"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."}}