{"id":"W4200378086","doi":"10.3389/fcomm.2021.666652","title":"Bodies and Documents: The Material Impact of Collaborative Information- Sharing Within the Seasonal Agricultural Worker Program","year":2021,"lang":"en","type":"article","venue":"Frontiers in Communication","topic":"Labor Movements and Unions","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Stakeholder; Construct (python library); Public relations; Inclusion (mineral); Work (physics); Political science; Knowledge management; Information sharing; Service (business); Function (biology); Service provider; Business; Sociology; Computer science; Engineering; Marketing; Social science; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01322097,0.0003646629,0.0003467704,0.003516175,0.01858703,0.01418642,0.001874892,0.001697882,0.008228829],"category_scores_gemma":[0.03182255,0.0003806311,0.0002497502,0.006312629,0.02331034,0.008331771,0.01247146,0.001576865,0.0005242294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02986419,"about_ca_system_score_gemma":0.03142704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1754718,"about_ca_topic_score_gemma":0.1963141,"domain_scores_codex":[0.975647,0.01502368,0.0006083098,0.00118924,0.005283769,0.002248023],"domain_scores_gemma":[0.9679675,0.02112399,0.004528129,0.002415471,0.002334448,0.001630462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000059743,0.00004812839,0.009260453,0.0001784893,0.000009875997,0.0008091732,0.9020591,0.00017927,0.0005752093,0.03671917,0.001775276,0.04832593],"study_design_scores_gemma":[0.00001295495,0.0000573738,0.01517965,0.0003561349,0.00001781906,0.000223171,0.8474433,0.0003118626,0.000514618,0.007349497,0.1285129,0.00002062494],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7289,0.001199815,0.006326387,0.008419511,0.00008668596,0.0002370797,0.00013667,0.00008640806,0.2546074],"genre_scores_gemma":[0.9864631,0.0004549468,0.001546519,0.0001776255,0.00002297828,0.00005324716,0.00005184877,0.00004062545,0.01118917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9814129,"threshold_uncertainty_score":0.3489008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009134581287131908,"score_gpt":0.3006663088159013,"score_spread":0.2915317275287694,"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."}}