{"id":"W2613033370","doi":"10.1126/science.aad4737","title":"In Canada, election results cheer scientists","year":2015,"lang":"en","type":"article","venue":"Science","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Political 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002469001,0.00003218901,0.00003795246,0.0001193572,0.000285455,0.00008721597,0.0002923539,0.00001087512,0.00005356027],"category_scores_gemma":[0.0004370356,0.00003092867,0.000006261072,0.001467597,0.0003617416,0.0004543107,0.00004187129,0.00004342161,0.0000793029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001609688,"about_ca_system_score_gemma":0.004331119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9613047,"about_ca_topic_score_gemma":0.9960042,"domain_scores_codex":[0.9985332,0.00003994001,0.00009535079,0.0002063332,0.0008377366,0.000287473],"domain_scores_gemma":[0.9995703,0.000007773625,0.00002832876,0.0001064472,0.0001085042,0.0001786363],"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":[0.00007630682,0.0001541458,0.02982578,0.000006968661,0.000002994171,0.00005898119,0.104879,0.001147035,0.003701618,0.08011774,0.6976714,0.08235804],"study_design_scores_gemma":[0.0002445073,0.00001063201,0.09904793,0.000004122645,6.562484e-7,3.821365e-7,0.007126034,0.0003123801,0.0001894248,0.0009104526,0.8920674,0.00008611818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6597453,0.00001730197,0.0000735508,0.008491061,0.002524552,0.0001697865,0.000001592586,0.00002775148,0.3289491],"genre_scores_gemma":[0.9875684,0.0000121267,0.0001388396,0.0005026686,0.00005957997,0.000003332844,2.821513e-7,0.000001142462,0.01171362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3278231,"threshold_uncertainty_score":0.768322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04024477630947397,"score_gpt":0.343448308273233,"score_spread":0.303203531963759,"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."}}