{"id":"W4403736768","doi":"10.17821/srels/2024/v61i5/171586","title":"Technology, AI and Productivity","year":2024,"lang":"en","type":"article","venue":"Journal of Information and Knowledge","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Productivity; Economics; Economic growth","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":[],"consensus_categories":[],"category_scores_codex":[0.000465665,0.0000463073,0.0001301748,0.000553098,0.00003409215,0.00009216408,0.00004530796,0.0000800753,0.00002842614],"category_scores_gemma":[0.0001111208,0.00004020197,0.0000199,0.0002397068,0.00005919291,0.001091001,0.00002966801,0.0001788521,0.00009033801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002613929,"about_ca_system_score_gemma":0.00001590262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.380408e-7,"about_ca_topic_score_gemma":6.654901e-7,"domain_scores_codex":[0.9994461,0.00000179011,0.0004371049,0.00005008986,0.000007998115,0.00005692802],"domain_scores_gemma":[0.9996954,0.0000109583,0.0001736134,0.0000451403,0.00005448292,0.00002047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002647874,0.000009244138,0.004284476,0.00004576704,0.00001430889,3.943007e-7,0.0001918789,4.225907e-7,0.000009077997,0.8775538,0.00145697,0.116431],"study_design_scores_gemma":[0.0002567291,0.0001184267,0.007577725,0.00005021107,0.000003928828,0.000123281,0.0001620872,0.003078517,0.0002441482,0.3341832,0.6540993,0.0001024997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196978,0.01418192,0.01731298,0.01032288,0.0006671821,0.00009934378,0.0000133087,0.00007377528,0.03763077],"genre_scores_gemma":[0.9989406,0.0003083396,0.0004343415,0.00008499293,0.00005104215,0.0000013254,8.142538e-7,0.000002024398,0.0001764753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6526423,"threshold_uncertainty_score":0.1639389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02008295166036025,"score_gpt":0.2369219340219007,"score_spread":0.2168389823615404,"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."}}