{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005600424,0.0003485373,0.0003106269,0.0004733614,0.0003937446,0.0001512473,0.0006344336,0.0001144706,0.01477907],"category_scores_gemma":[0.0001188524,0.00038039,0.00005999776,0.0006321002,0.00009422063,0.00036951,0.008962473,0.0007153408,0.001945594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103325,"about_ca_system_score_gemma":0.0000479757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001029357,"about_ca_topic_score_gemma":0.000007591665,"domain_scores_codex":[0.9979022,0.00001836093,0.000417426,0.0008449201,0.0005087298,0.000308422],"domain_scores_gemma":[0.9986125,0.00002058094,0.0004302197,0.0006531204,0.0002669113,0.00001666743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002178092,0.00009931375,0.9821516,0.0006803566,0.0001176214,0.0000117446,0.0002162841,0.000706557,0.00005717571,0.01481242,0.0006629539,0.0004622408],"study_design_scores_gemma":[0.0003178197,0.000004197376,0.7942131,0.00007344706,0.00005985664,0.000001174863,0.0002267017,0.0008806174,0.00007493766,0.002244317,0.2014542,0.0004496487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8674761,0.00004599884,0.00002263403,0.0005639261,0.0004381878,0.000531932,0.000006093753,0.0002169411,0.1306982],"genre_scores_gemma":[0.9915314,0.00006691414,0.00002918016,0.001586197,0.000831056,0.0001546643,0.0003376646,0.00006244839,0.005400431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2007912,"threshold_uncertainty_score":0.9998648,"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."}}