{"id":"W4410705181","doi":"10.29173/cais1874","title":"Conceptualizations of Information Science by Large Language Models","year":2025,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Linguistics; Cognitive science; Psychology; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002030507,0.0001899081,0.000454932,0.0003421619,0.0003831453,0.001108111,0.001686298,0.000151368,0.00008137467],"category_scores_gemma":[0.01600955,0.0001661104,0.0002005672,0.00296123,0.002561166,0.01827139,0.0005195449,0.0001864972,0.000002157081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001064063,"about_ca_system_score_gemma":0.001161622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00142197,"about_ca_topic_score_gemma":0.00005091084,"domain_scores_codex":[0.9977265,0.0000739505,0.0007375646,0.000223144,0.0008428173,0.0003960188],"domain_scores_gemma":[0.9490634,0.0002867473,0.001008935,0.000134336,0.04940416,0.0001024479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002366858,0.00015429,0.00944836,0.0002904004,0.00008745367,5.61982e-8,0.1543345,0.0001561178,0.00307525,0.816667,0.00324411,0.0125188],"study_design_scores_gemma":[0.002061663,0.0003417225,0.02838374,0.002256006,0.000994388,0.000005196975,0.1954545,0.08178244,0.07169905,0.2332626,0.382729,0.001029775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8737416,0.00201574,0.01015758,0.007218624,0.0005177895,0.0004557998,0.0008102925,0.00003320805,0.1050494],"genre_scores_gemma":[0.9940139,0.0002854385,0.001529321,0.0002642734,0.00003900744,0.00001065618,0.00001098868,0.000005623831,0.003840795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5834044,"threshold_uncertainty_score":0.9999288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02162641806700447,"score_gpt":0.3136707186381393,"score_spread":0.2920443005711348,"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."}}