{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008772573,0.0001651968,0.0002763393,0.00005696581,0.0004116146,0.00003723769,0.0007375836,0.0003343986,0.00002115136],"category_scores_gemma":[0.000197756,0.00009594024,0.0001750911,0.0001517314,0.0006860562,0.00004199595,0.0007492793,0.001025579,0.000006157748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001661901,"about_ca_system_score_gemma":0.000210168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002171032,"about_ca_topic_score_gemma":0.00003210407,"domain_scores_codex":[0.9988358,0.00008921558,0.0003329428,0.0004479665,0.0001305638,0.0001634995],"domain_scores_gemma":[0.9981388,0.0002901512,0.0004320623,0.0008723167,0.0002354525,0.00003117206],"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":[0.00003305738,0.00009436589,0.1446396,0.00003354122,0.0001376042,1.671301e-8,0.0005367554,0.00004375972,0.00887903,0.8433133,0.0006536136,0.001635371],"study_design_scores_gemma":[0.0004151519,0.00001726262,0.2821834,0.00008142544,0.00009986711,2.693775e-7,0.001855963,0.0000414174,0.04081172,0.6705734,0.003737191,0.0001830029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850975,0.0002403227,0.00026632,0.008754929,0.0004524337,0.001457242,0.0001323586,0.00003732975,0.003561562],"genre_scores_gemma":[0.9979596,0.00003914117,0.0001123058,0.00004291772,0.0003035886,0.0006731388,0.00008007354,0.00001224568,0.0007770034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.17274,"threshold_uncertainty_score":0.4455689,"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."}}