{"id":"W4403725257","doi":"10.1109/temsconlatam61834.2024.10717815","title":"Trajectory of Technology Upgrading: Intellectual Structure and Future Research Directions","year":2024,"lang":"en","type":"article","venue":"","topic":"Innovation Policy and R&D","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Trajectory; Computer science; Physics","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.01244498,0.000564342,0.0009212369,0.009865177,0.002545058,0.01062055,0.001478552,0.001673739,0.007088229],"category_scores_gemma":[0.02213158,0.0003013251,0.001151447,0.0188612,0.004438135,0.01928711,0.003334046,0.002461606,0.001129288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00877083,"about_ca_system_score_gemma":0.02225857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435683,"about_ca_topic_score_gemma":0.01415042,"domain_scores_codex":[0.9965646,0.001204327,0.0003387811,0.0006860495,0.0007556735,0.0004505659],"domain_scores_gemma":[0.97177,0.01449285,0.003037826,0.00147812,0.007751564,0.001469731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001871122,0.0001570539,0.06059672,0.008224335,0.0001702875,0.0004409144,0.02008777,0.002654229,0.0008955601,0.3018284,0.01319065,0.5915669],"study_design_scores_gemma":[0.00002644529,0.0003783873,0.1139501,0.02625093,0.0003074818,0.001135029,0.09656046,0.00649842,0.001729475,0.4191081,0.3338565,0.000198573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1394682,0.5148689,0.03587161,0.1943467,0.001900655,0.0005116485,0.004294854,0.0003576549,0.1083798],"genre_scores_gemma":[0.6223768,0.3311053,0.03162935,0.004131319,0.0006224275,0.000490086,0.002481527,0.0001111434,0.007052052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9901348,"threshold_uncertainty_score":0.06581616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06010813105733974,"score_gpt":0.3039512074909583,"score_spread":0.2438430764336186,"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."}}