{"id":"W2322016843","doi":"10.5539/ibr.v9n6p64","title":"What R&D Assets Say about Firm Profitability","year":2016,"lang":"en","type":"article","venue":"International Business Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Return on assets; Business; Asset (computer security); Order (exchange); Monetary economics; Economics; Finance; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001841504,0.0002356188,0.0003369355,0.001625519,0.0002680588,0.003225799,0.0003470911,0.001348171,0.004351522],"category_scores_gemma":[0.01707509,0.0001355099,0.0004159134,0.002281432,0.0009714813,0.002057408,0.0006763896,0.0008385741,0.001120071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001015609,"about_ca_system_score_gemma":0.000477404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003462064,"about_ca_topic_score_gemma":0.003629137,"domain_scores_codex":[0.9992036,0.000242217,0.00008141724,0.0001235097,0.0001970443,0.0001521752],"domain_scores_gemma":[0.9649009,0.01536069,0.01625238,0.0008058031,0.001089324,0.001590959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006789898,0.00003395316,0.9858727,0.00004905579,0.00007586079,0.0001236903,0.0003481077,0.0006584193,0.0002162227,0.0008521599,0.0008541207,0.01084769],"study_design_scores_gemma":[0.000005517671,0.00005642002,0.9945293,0.00006694021,0.00006826334,0.000175566,0.0008733547,0.0005813556,0.0002295039,0.0015107,0.001890114,0.00001282383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9768638,0.003110684,0.0003305267,0.005077844,0.00003585803,0.000009179038,0.001052442,0.00001691416,0.01350273],"genre_scores_gemma":[0.9983203,0.0006072924,0.00004543107,0.0001771017,0.00007548238,0.00000191499,0.0002652286,0.000002542678,0.0005047204],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004351522,"threshold_uncertainty_score":0.0145573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08899007940835646,"score_gpt":0.3556983401235117,"score_spread":0.2667082607151552,"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."}}