{"id":"W4403341286","doi":"10.32604/cmc.2024.057094","title":"AI-Powered Innovations in High-Tech Research and Development: From Theory to Practice","year":2024,"lang":"en","type":"article","venue":"Computers, materials & continua/Computers, materials & continua (Print)","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Development (topology); Engineering ethics; High tech; Engineering; Engineering management; Sociology; Management science; Political science; Mathematics","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":[0.01937618,0.0005997281,0.0009722678,0.005429348,0.001968118,0.01315751,0.001632285,0.003753136,0.003757141],"category_scores_gemma":[0.03223061,0.0004134138,0.0004601153,0.008939957,0.01516376,0.01463785,0.004595392,0.003912718,0.0007465428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008000235,"about_ca_system_score_gemma":0.01522435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718545,"about_ca_topic_score_gemma":0.00280974,"domain_scores_codex":[0.9820642,0.01080098,0.001228879,0.0008766453,0.004300619,0.0007285809],"domain_scores_gemma":[0.9329034,0.05856704,0.002009487,0.001892638,0.003769371,0.0008580172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004219104,0.00007649595,0.000803649,0.008708674,0.00005144989,0.000211707,0.005390258,0.000972116,0.0001895186,0.741836,0.008872801,0.2328452],"study_design_scores_gemma":[0.0000380998,0.0001700605,0.002096994,0.04208224,0.00006108745,0.0004699704,0.0145903,0.0007809901,0.0007426512,0.2740304,0.6648851,0.00005211282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.004697309,0.8965507,0.005595794,0.03799234,0.001120608,0.00003661164,0.00002473899,0.00002988834,0.05395197],"genre_scores_gemma":[0.1287051,0.8574829,0.004615659,0.00629162,0.0008365163,0.00009344387,0.00003967083,0.00002786651,0.001907375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01937618,"threshold_uncertainty_score":0.1024722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06015718674744946,"score_gpt":0.3286039589895827,"score_spread":0.2684467722421332,"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."}}