{"id":"W6931838917","doi":"10.5683/sp3/zewryk","title":"Looking West 2001 [Canada]","year":2001,"lang":"en","type":"dataset","venue":"Borealis","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Queen's University","funders":"","keywords":"Feeling; Alienation; Democracy; Public opinion","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002913131,0.000207551,0.0002343285,0.0003681293,0.0001355688,0.0003186693,0.00218169,0.0002014336,0.0002598785],"category_scores_gemma":[0.0001247215,0.0002067144,0.00006478014,0.001122261,0.0000333119,0.0001508884,0.0002889613,0.0002802294,0.00005841412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050082,"about_ca_system_score_gemma":0.0009490811,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9667981,"about_ca_topic_score_gemma":0.970157,"domain_scores_codex":[0.9981178,0.00006398085,0.0003057749,0.0004901273,0.0006506393,0.0003716867],"domain_scores_gemma":[0.9978944,0.00006651468,0.0002067028,0.001522763,0.0001228179,0.0001867669],"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":[4.600774e-7,0.0000306566,0.0000051427,0.00001818096,0.00001273659,0.00008110404,0.000005514189,3.227165e-7,1.952554e-7,0.0003152131,0.9956661,0.003864339],"study_design_scores_gemma":[0.00007959615,0.000006670167,0.0005295743,0.00001485822,0.00001095271,0.00002727313,0.000002792472,0.0001269418,0.00000484243,0.00008566497,0.9988684,0.0002424214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.954492e-7,0.000225571,0.004008951,0.0009668051,0.0007212639,0.0001034119,0.9923899,0.00006332747,0.001520535],"genre_scores_gemma":[0.000003853442,0.0004713584,0.0005358583,0.001290199,0.0002213201,0.00001059471,0.9969589,0.000006884672,0.0005010859],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004569006,"threshold_uncertainty_score":0.8429568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216314399397859,"score_gpt":0.2537976332566069,"score_spread":0.232166193316821,"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."}}