{"id":"W2556467982","doi":"","title":"Facts about Alberta : compiled for the use and interest of visiting tourists / issued ... by the Government of Alberta.","year":2014,"lang":"en","type":"article","venue":"QSpace (Queen's University Library)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Business; Political science; History","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":[0.0005108015,0.0007558978,0.0004208229,0.006389023,0.003232357,0.0039495,0.001352005,0.001074203,0.05449985],"category_scores_gemma":[0.002618775,0.0005496313,0.0003231548,0.01412882,0.000762525,0.0009650302,0.001046406,0.001781326,0.01259979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01923897,"about_ca_system_score_gemma":0.0453002,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9801584,"about_ca_topic_score_gemma":0.9877565,"domain_scores_codex":[0.9990568,0.00002493193,0.00003833087,0.00005269892,0.0006276263,0.0001996499],"domain_scores_gemma":[0.9962729,0.0001758679,0.0001698281,0.0001076057,0.002825469,0.0004483225],"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":[0.00002897509,0.000004092014,0.001457081,0.0002021415,0.000006220124,0.00008680065,0.0004459048,0.0000760178,0.00005436956,0.001449975,0.9848983,0.0112901],"study_design_scores_gemma":[0.000005623457,0.000003499184,0.02827933,0.0001885015,0.00001053935,0.00004761363,0.001450065,0.00004655019,0.0001034057,0.0002244124,0.9696217,0.00001896717],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01183582,0.01307547,0.0003979685,0.01175774,0.004409668,0.0001559041,0.5550097,0.0009205394,0.4024372],"genre_scores_gemma":[0.05815863,0.01411106,0.001517135,0.002006511,0.0006391342,0.0001247819,0.2553147,0.000458458,0.6676696],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05449985,"threshold_uncertainty_score":0.1823202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01105887885830682,"score_gpt":0.1886810593139669,"score_spread":0.1776221804556601,"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."}}