{"id":"W4312199512","doi":"10.20944/preprints202212.0477.v1","title":"Innovative HRM and Organizational Performance","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Conestoga College","funders":"","keywords":"Human resource management; Knowledge management; Nothing; Human resources; Core (optical fiber); Management; Business; Computer science; Epistemology; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.004778484,0.0004012241,0.0003333881,0.002445467,0.0009651424,0.006160899,0.0005643906,0.0008822104,0.0113348],"category_scores_gemma":[0.0103013,0.0000961223,0.0003182173,0.002963457,0.004012219,0.00279158,0.002982741,0.001233515,0.0008748493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003620096,"about_ca_system_score_gemma":0.002000724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009618886,"about_ca_topic_score_gemma":0.0007114042,"domain_scores_codex":[0.9957165,0.002082951,0.0001524766,0.0003056286,0.001139926,0.0006024239],"domain_scores_gemma":[0.9887106,0.007072362,0.001874448,0.0005203849,0.0009215711,0.0009006197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001000633,0.0003549832,0.02144363,0.0009210848,0.0001020785,0.0001652372,0.005319815,0.003324361,0.0003137136,0.7170445,0.01059322,0.2403173],"study_design_scores_gemma":[0.00006237093,0.0006247323,0.1613731,0.001452663,0.00008032496,0.0006643331,0.01047661,0.004582614,0.00106552,0.5994043,0.2200622,0.0001512276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1851174,0.0742191,0.01560433,0.02944791,0.001274118,0.0001177487,0.0002571513,0.0001702442,0.693792],"genre_scores_gemma":[0.9776709,0.008063627,0.002357995,0.0006346974,0.0009423501,0.00004111002,0.00006631952,0.00002414764,0.01019885],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0113348,"threshold_uncertainty_score":0.03791869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07693282406762599,"score_gpt":0.2856993212409534,"score_spread":0.2087664971733275,"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."}}