{"id":"W7099073473","doi":"","title":"Historical Trends And Future Prospects The Study in Brief","year":2014,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Work (physics); Globalization; Government (linguistics)","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":[0.002461036,0.0003540284,0.0003462168,0.002762757,0.003126774,0.005040892,0.001452714,0.001846575,0.02152265],"category_scores_gemma":[0.007193672,0.0002358049,0.0002771275,0.008525177,0.002577039,0.00426892,0.001339376,0.003674654,0.002986136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01293218,"about_ca_system_score_gemma":0.01772907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.328366,"about_ca_topic_score_gemma":0.4712769,"domain_scores_codex":[0.9990238,0.00009838663,0.00006967103,0.0001491501,0.0003249198,0.0003341388],"domain_scores_gemma":[0.9944656,0.0010149,0.0006253473,0.0001147396,0.002784499,0.0009948425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000999703,0.00007442735,0.01391114,0.002717671,0.00002287325,0.0003520129,0.002891591,0.0003019413,0.000356426,0.1095762,0.4988532,0.3708425],"study_design_scores_gemma":[0.000002896314,0.00002286839,0.01486983,0.001361251,0.000012502,0.0002258413,0.004256173,0.00008199752,0.0001172331,0.004691197,0.9743301,0.00002805749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01082138,0.3791236,0.0008686332,0.516301,0.01473115,0.00004266627,0.003510022,0.0001335462,0.07446811],"genre_scores_gemma":[0.1560836,0.6781536,0.001900283,0.07100827,0.02099583,0.0000848928,0.003272628,0.0001434869,0.06835745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.671634,"threshold_uncertainty_score":0.6529094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276299539132566,"score_gpt":0.2702411853997491,"score_spread":0.2574781900084234,"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."}}