{"id":"W4310142204","doi":"10.32920/21631928.v1","title":"Organizing Local Messengers: Working Conditions and Barriers to Unionization","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collective bargaining; Work (physics); Labour economics; Working hours; Demographic economics; Working group; Business; Public relations; Political science; Economics; Engineering; Law","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":[0.0008726668,0.00008667973,0.0001708361,0.0008530262,0.003582188,0.001887192,0.0004734345,0.0003758092,0.006795939],"category_scores_gemma":[0.003356093,0.0001428952,0.00007141043,0.0009919386,0.001918818,0.0005837145,0.001355495,0.0003346383,0.0004201156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002211013,"about_ca_system_score_gemma":0.00210286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1642908,"about_ca_topic_score_gemma":0.3264582,"domain_scores_codex":[0.999184,0.0002229137,0.00003190496,0.00007086402,0.0001378061,0.0003524655],"domain_scores_gemma":[0.9977847,0.0006003822,0.0006176265,0.00007897959,0.0002711266,0.0006472013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001581119,0.0001526974,0.7792138,0.00007863323,0.00001065575,0.0007445211,0.1973867,0.00008802289,0.001516313,0.0007650166,0.000920551,0.01896488],"study_design_scores_gemma":[0.000003727931,0.00007228386,0.6105301,0.00003828758,0.000004740354,0.00009173011,0.3871329,0.00005847973,0.0001097323,0.0001069945,0.001843779,0.000007277048],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998218,0.00004283621,0.00001538847,0.00009323545,0.000001265567,0.000004443863,0.00001875626,9.615662e-7,0.001605059],"genre_scores_gemma":[0.9994048,0.00004160326,0.00001180325,0.00001211618,0.000001448667,0.000003708181,0.00001612104,8.175819e-7,0.0005076806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1642908,"threshold_uncertainty_score":0.3266691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146829439535623,"score_gpt":0.3056364464142059,"score_spread":0.2841681520188497,"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."}}