{"id":"W4387564903","doi":"10.20944/preprints202310.0433.v1","title":"The Human Nature of Generative AIs and the Technological Nature of Humanity: Implications for Education","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Space Science and Extraterrestrial Life","field":"Physics and Astronomy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Orchestration; Humanity; Generative grammar; Process (computing); Collective intelligence; Engineering ethics; Domain (mathematical analysis); Emerging technologies; Epistemology; Knowledge management; Sociology; Computer science; Cognitive science; Psychology; Political science; Artificial intelligence; Engineering","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":[0.003392737,0.0005492933,0.0004327825,0.001230417,0.002983355,0.006781207,0.001619491,0.003349424,0.009073587],"category_scores_gemma":[0.005391255,0.0002847119,0.0005258922,0.001022653,0.03143036,0.01190274,0.003882704,0.003690489,0.0009017307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004034886,"about_ca_system_score_gemma":0.003861424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003722842,"about_ca_topic_score_gemma":0.003116734,"domain_scores_codex":[0.9981601,0.001152938,0.00004484532,0.0001927842,0.00026135,0.0001880045],"domain_scores_gemma":[0.9925852,0.005462199,0.0003841157,0.0007128288,0.0003649614,0.000490759],"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":[0.000001695925,0.000007868199,0.0001034352,0.00001558979,0.000001096731,0.00001709178,0.0007156934,0.0004962293,0.00002197132,0.9966986,0.0002102598,0.001710487],"study_design_scores_gemma":[0.00000473212,0.000008687546,0.000131696,0.00004623261,0.000001526678,0.00003502313,0.001178774,0.001339738,0.0000836897,0.9826896,0.01447512,0.00000510091],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04800245,0.005185027,0.2552806,0.1488944,0.0005672561,0.0001086701,0.00008481147,0.0002565472,0.5416202],"genre_scores_gemma":[0.9504557,0.002554643,0.02641681,0.002919939,0.0002274773,0.0001754686,0.00003663598,0.00005268392,0.01716057],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009073587,"threshold_uncertainty_score":0.03035414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040319729403854,"score_gpt":0.3995823811967568,"score_spread":0.2955504082563714,"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."}}