{"id":"W4389056774","doi":"10.3390/digital3040020","title":"The Human Nature of Generative AIs and the Technological Nature of Humanity: Implications for Education","year":2023,"lang":"en","type":"article","venue":"Digital","topic":"Embodied and Extended Cognition","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Orchestration; Generative grammar; Humanity; Argument (complex analysis); Process (computing); Order (exchange); Collective intelligence; Emerging technologies; Epistemology; Domain (mathematical analysis); Engineering ethics; Cognitive science; Sociology; Computer science; Psychology; Knowledge management; Artificial intelligence; Political science; Business; Engineering; Medicine","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":[0.005375186,0.0005370063,0.0005331948,0.001436172,0.004695517,0.01010814,0.001868158,0.003746652,0.006629506],"category_scores_gemma":[0.007717336,0.0003471128,0.000496969,0.001322446,0.05581706,0.01612683,0.005589991,0.00448896,0.0006053391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005096834,"about_ca_system_score_gemma":0.004327315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003909309,"about_ca_topic_score_gemma":0.003467608,"domain_scores_codex":[0.9962536,0.002657829,0.00008514989,0.0002970516,0.0003869271,0.0003193783],"domain_scores_gemma":[0.9872665,0.01021909,0.0005183563,0.001029484,0.0004475671,0.0005190523],"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":[0.000002512631,0.000008513198,0.0001644276,0.00002900568,0.000001453998,0.00003924471,0.003095832,0.0003346193,0.00003259539,0.9930189,0.0002760775,0.002996796],"study_design_scores_gemma":[0.000005175992,0.00001155356,0.0002247265,0.0001127601,0.000002306205,0.00007241642,0.005847433,0.0008130258,0.0001435962,0.9614933,0.03126569,0.000008031136],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06537803,0.01353894,0.1576666,0.1722454,0.0008168265,0.0001399167,0.00007007484,0.0002601452,0.589884],"genre_scores_gemma":[0.960445,0.004273564,0.01892819,0.002960516,0.000237116,0.0001527981,0.00002788211,0.00005426177,0.01292067],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01010814,"threshold_uncertainty_score":0.03698033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842724579648082,"score_gpt":0.3220977816346776,"score_spread":0.2936705358381968,"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."}}