{"id":"W4235281243","doi":"10.22215/etd/2012-07426","title":"If something is important for me, is it important for Canada? : exploring salience with political events, issues and opinion polls","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salience (neuroscience); Politics; Political science; Humanities; Philosophy; Computer science; Law; Artificial intelligence","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":[0.007456414,0.0001767772,0.0003440769,0.002312214,0.006831583,0.007004737,0.001121198,0.001255209,0.005295918],"category_scores_gemma":[0.05476662,0.0003384204,0.0002380425,0.005716974,0.003202437,0.003229587,0.003463038,0.002445277,0.0004520831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01252622,"about_ca_system_score_gemma":0.01692532,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7758271,"about_ca_topic_score_gemma":0.8668489,"domain_scores_codex":[0.9961709,0.001529645,0.0001352774,0.0002422832,0.001069118,0.0008527443],"domain_scores_gemma":[0.9690089,0.0140155,0.007037892,0.000626468,0.005681282,0.003630094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004196319,0.000319549,0.6433043,0.0001976423,0.0000836716,0.0001917115,0.3097558,0.00009509496,0.0005136159,0.005402121,0.007691267,0.03202555],"study_design_scores_gemma":[0.00002505934,0.00005826771,0.5431004,0.0001524454,0.00006078109,0.00003253104,0.4424197,0.0002800486,0.0001938814,0.0009280468,0.01270836,0.00004034286],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746202,0.0003886286,0.0001938703,0.005558514,0.00004970775,0.00007721328,0.0003308805,0.000003043317,0.01877786],"genre_scores_gemma":[0.9958113,0.0003887106,0.0001606438,0.0007112206,0.0000297168,0.00005114033,0.0002012463,0.000007838519,0.002638051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2241729,"threshold_uncertainty_score":0.4509863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08165300812989586,"score_gpt":0.3810086997644828,"score_spread":0.2993556916345869,"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."}}