{"id":"W4414718364","doi":"10.26740/vubeta.v2i3.44232","title":"Rethinking Intelligence: From Human Cognition to Artificial Futures","year":2025,"lang":"en","type":"article","venue":"Vokasi UNESA Bulletin of Engineering, Technology and Applied Science","topic":"Space Science and Extraterrestrial Life","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Cognition; Human intelligence; Key (lock); Futures contract; Social intelligence; Trustworthiness; Component (thermodynamics); Natural (archaeology)","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":[0.0003079428,0.0001289267,0.0001758962,0.000518176,0.0002915652,0.00005472966,0.0004038177,0.00008540545,0.0001032853],"category_scores_gemma":[0.00004283712,0.0001238254,0.00002339472,0.001242703,0.0004619117,0.00002835301,0.0001639862,0.0001977254,0.0000168487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009220979,"about_ca_system_score_gemma":0.00004445992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007438031,"about_ca_topic_score_gemma":0.000003955821,"domain_scores_codex":[0.99897,0.000003537502,0.000229259,0.0003779501,0.0001474592,0.0002717974],"domain_scores_gemma":[0.9995846,0.00003893099,0.00006134411,0.0002073655,0.00005121345,0.00005652012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001031778,0.00002852298,0.0005419084,0.000005442781,0.000008961591,3.59071e-7,0.0002072504,0.0007814119,0.297977,0.6904978,0.0002337619,0.00970726],"study_design_scores_gemma":[0.0001399266,0.00005964735,0.00119178,0.00009764009,0.00002180648,3.235329e-7,0.001546705,0.0004066414,0.819383,0.1701456,0.006761643,0.000245246],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957595,0.00003143323,0.03386503,0.001897156,0.000272828,0.0002044342,0.000007834182,0.0001047468,0.006021532],"genre_scores_gemma":[0.994975,0.000001151895,0.004760266,0.00007099179,0.00008771996,0.00002928954,0.000003311521,0.000004474257,0.00006778163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5214061,"threshold_uncertainty_score":0.5049453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009066179301977114,"score_gpt":0.2470488051977506,"score_spread":0.2379826258957735,"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."}}