{"id":"W7061478993","doi":"","title":"Quebecin kieli- ja vähemmistöpolitiikkaa koskevien näkökantojen vertailu Kanadan ranskan- ja englanninkielisissä lehdissä","year":2019,"lang":"fi","type":"other","venue":"Lauda (University of Lapland)","topic":"Advanced Power Generation Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Slogan; Relation (database); State (computer science)","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":[0.0002229078,0.0004512332,0.000269628,0.0006232068,0.004816975,0.002741987,0.0005454607,0.0005829153,0.08618549],"category_scores_gemma":[0.0004398285,0.0002430854,0.000337347,0.001092172,0.0008447298,0.0005896877,0.001192206,0.001455559,0.007151292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0245544,"about_ca_system_score_gemma":0.03252849,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9606678,"about_ca_topic_score_gemma":0.9925281,"domain_scores_codex":[0.9996544,0.0000202948,0.000006814738,0.00006643123,0.0001153245,0.0001366827],"domain_scores_gemma":[0.9996263,0.00002876044,0.00002161196,0.00001870082,0.0001905973,0.0001141197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006692304,0.00037291,0.1204974,0.0008488486,0.0001516993,0.003684518,0.01864756,0.002414319,0.03610237,0.1049999,0.3153361,0.3962752],"study_design_scores_gemma":[0.00001363182,0.00003402679,0.07205426,0.0001248153,0.0000173887,0.0001401852,0.004539322,0.0002782189,0.002452714,0.0004317357,0.9198807,0.00003296643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2097238,0.005162782,0.003508986,0.009379105,0.0007592142,0.000248235,0.01071982,0.0005621332,0.7599359],"genre_scores_gemma":[0.1469081,0.001657801,0.002417921,0.000739616,0.00002207247,0.00006138696,0.002591179,0.0001299509,0.845472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08618549,"threshold_uncertainty_score":0.2883192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007932792926802977,"score_gpt":0.1877522171250892,"score_spread":0.1798194241982863,"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."}}