{"id":"W7095277369","doi":"","title":"ISSN 1198-8177RELATING HRM AND MOT CAPABILITIES TO R&amp;amp;D INTENSITY","year":2011,"lang":"en","type":"article","venue":"","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporation; Private sector; Product (mathematics); Private enterprise","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002832046,0.0005106905,0.0004551369,0.001660565,0.001767482,0.006566212,0.0009694443,0.002307391,0.7180139],"category_scores_gemma":[0.009624908,0.0002836201,0.0002795679,0.002336128,0.001495859,0.002904873,0.00348902,0.001692944,0.5101723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003328339,"about_ca_system_score_gemma":0.006754507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02388022,"about_ca_topic_score_gemma":0.04945754,"domain_scores_codex":[0.9977565,0.0003849785,0.0001580178,0.0003065634,0.001111618,0.0002822175],"domain_scores_gemma":[0.9904962,0.001518405,0.0003631926,0.001273774,0.00361793,0.002730447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005315051,0.00008886607,0.001378806,0.0003009242,0.000005427953,0.00009488422,0.0005241022,0.00006263371,0.0007490132,0.005755112,0.603864,0.3871231],"study_design_scores_gemma":[0.0000046274,0.00001557855,0.004298009,0.0001894015,0.000001721131,0.00006445704,0.0004512624,0.00003857548,0.00006835206,0.0005160649,0.9943462,0.000005742857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001614877,0.001967042,0.0008218837,0.007403711,0.003512767,0.00009328238,0.0006571669,0.0004282343,0.9835011],"genre_scores_gemma":[0.006839176,0.0009037519,0.000486004,0.001036121,0.0004070018,0.00003792258,0.0003512288,0.0001212323,0.9898177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7180139,"threshold_uncertainty_score":0.4022189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1361767838881983,"score_gpt":0.251415438232769,"score_spread":0.1152386543445707,"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."}}