{"id":"W4323074984","doi":"10.1177/10525629231154896","title":"Conference to Journal Article Pipeline: Myth or Muscle?","year":2023,"lang":"en","type":"article","venue":"Organizational Behavior Teaching Review","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Mythology; Pipeline (software); Management; Sociology; Epistemology; History; Computer science; Philosophy; Classics; Economics; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08381079,0.001178589,0.002147912,0.009391911,0.007370708,0.02674349,0.004128252,0.007500764,0.1355753],"category_scores_gemma":[0.341895,0.001649273,0.001890805,0.007052133,0.006429162,0.03426582,0.01122682,0.01701639,0.05234489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007945144,"about_ca_system_score_gemma":0.03112015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007604045,"about_ca_topic_score_gemma":0.01294828,"domain_scores_codex":[0.9686113,0.01067358,0.003488304,0.00305528,0.01058955,0.003582047],"domain_scores_gemma":[0.6709604,0.07476415,0.0242348,0.02928939,0.1350874,0.06566389],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001614824,0.00005563327,0.0005667271,0.0004328703,0.00002997949,0.00003512292,0.000268681,0.00003107946,0.00009121146,0.009235676,0.9264873,0.06260429],"study_design_scores_gemma":[0.0001457201,0.0001425612,0.001654589,0.001772027,0.00005618466,0.0001101033,0.001424793,0.0005124431,0.0002499246,0.02601327,0.9678445,0.00007398587],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001087486,0.004005535,0.004584586,0.8524578,0.112101,0.0003050552,0.001062831,0.001520557,0.02287508],"genre_scores_gemma":[0.06573107,0.01422161,0.02264708,0.5582854,0.1740622,0.002260583,0.002799815,0.006395814,0.1535965],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9161892,"threshold_uncertainty_score":0.4535446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05629427103858872,"score_gpt":0.3363315923784596,"score_spread":0.2800373213398709,"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."}}