{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001756463,0.0004679447,0.0004146982,0.001840106,0.001881444,0.009087476,0.00064451,0.002288165,0.01346875],"category_scores_gemma":[0.005840905,0.0001624789,0.0002693209,0.003301314,0.008064039,0.005578295,0.00224166,0.002472186,0.002437405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003947577,"about_ca_system_score_gemma":0.003779379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004462686,"about_ca_topic_score_gemma":0.002669026,"domain_scores_codex":[0.9980653,0.0008082635,0.0001048349,0.0002221648,0.0004560718,0.0003434714],"domain_scores_gemma":[0.9961068,0.002342351,0.0004070179,0.0001940671,0.0004970225,0.0004526458],"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":[0.00003320373,0.00005876973,0.003526029,0.0004711671,0.00002559592,0.0001933751,0.002678714,0.0008229751,0.0001722369,0.881621,0.02631165,0.08408533],"study_design_scores_gemma":[0.00001173785,0.00005468735,0.00663029,0.0008767199,0.00001409746,0.0003207878,0.003524248,0.0004448711,0.0001676842,0.5803728,0.407555,0.00002699107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02821616,0.2272892,0.008216678,0.1135847,0.002142154,0.00006745284,0.0002971359,0.0001195631,0.6200669],"genre_scores_gemma":[0.6979489,0.2080765,0.004709358,0.01001434,0.00327441,0.0001154651,0.0002582493,0.0000608746,0.07554194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01346875,"threshold_uncertainty_score":0.04505742,"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."}}