{"id":"W2021425690","doi":"10.7202/050481ar","title":"Future Directions for American Labor and Human Resources Policy","year":2005,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human resources; Political science; Human resource policies; Resource (disambiguation); Economics; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001474905,0.00006647705,0.00007920877,0.0001372179,0.001910721,0.00007306081,0.00008146556,0.00009858023,0.00009142454],"category_scores_gemma":[0.0001427153,0.00006297152,0.00002922102,0.0006591843,0.0002620412,0.0001403997,0.00001794796,0.0001292393,0.000002670901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000787514,"about_ca_system_score_gemma":0.0001344689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005175449,"about_ca_topic_score_gemma":0.009550475,"domain_scores_codex":[0.9993865,0.00005476646,0.0001243398,0.0001332768,0.0001113537,0.0001898024],"domain_scores_gemma":[0.9995463,0.0001129065,0.00006891172,0.0001007955,0.00007465637,0.00009641375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001707645,0.00004692036,0.008414286,1.555407e-7,0.00002043428,7.541072e-8,0.008263774,0.00001547549,0.00001952157,0.8626756,0.01118114,0.1093609],"study_design_scores_gemma":[0.0001351588,0.00002188805,0.05514053,0.000004121554,0.00001455432,1.316529e-7,0.009168476,0.000005992079,0.00001005707,0.0007427575,0.9346805,0.00007585483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8283657,0.000465279,0.00006044052,0.1387801,0.0001074526,0.0003425257,0.000116529,0.0001277155,0.03163417],"genre_scores_gemma":[0.963721,0.0005299819,0.001003318,0.0007780743,0.00316583,0.00004818253,0.00001745723,0.00001318852,0.03072302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9234993,"threshold_uncertainty_score":0.9993886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166867367052749,"score_gpt":0.3107478710352946,"score_spread":0.2940611343300197,"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."}}