{"id":"W4402859106","doi":"10.7202/1113751ar","title":"Socio-cognitive Impact of Artifact Replacement","year":2024,"lang":"en","type":"article","venue":"Material Culture Review","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Artifact (error); Cognition; Psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.008543782,0.0003633598,0.0002716517,0.003226932,0.002850123,0.006988531,0.001122115,0.001269358,0.002164642],"category_scores_gemma":[0.01547854,0.0002334226,0.0004199987,0.002564709,0.01138141,0.005347173,0.00409722,0.001296073,0.0002974042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006340424,"about_ca_system_score_gemma":0.004674321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008962309,"about_ca_topic_score_gemma":0.01211242,"domain_scores_codex":[0.9856465,0.008221875,0.0005504957,0.0007279388,0.003997088,0.0008560746],"domain_scores_gemma":[0.9787853,0.01197598,0.003278616,0.001808003,0.00340085,0.000751177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001243714,0.0002390793,0.04915409,0.001889413,0.000128022,0.002860816,0.3878214,0.00134556,0.003547213,0.1890859,0.005533347,0.3582707],"study_design_scores_gemma":[0.00001642496,0.0002096486,0.06751368,0.002163836,0.0001029571,0.002773548,0.4755287,0.001186623,0.00266767,0.06032289,0.3873975,0.0001166661],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7256428,0.03290148,0.01688244,0.02432597,0.0004982218,0.00009925929,0.00009310587,0.0001157112,0.199441],"genre_scores_gemma":[0.9889093,0.00529251,0.002246389,0.0006785653,0.00007292043,0.0000211728,0.00002528443,0.00002059275,0.002733187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008962309,"threshold_uncertainty_score":0.04600322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01133102424990064,"score_gpt":0.2790131890708443,"score_spread":0.2676821648209437,"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."}}