{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01892805,0.001046053,0.0006411914,0.007009625,0.001679256,0.008276849,0.001998972,0.001491288,0.00351625],"category_scores_gemma":[0.05172615,0.0005284066,0.001536895,0.004684196,0.00879581,0.01887567,0.004441214,0.003018172,0.0005124098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005340124,"about_ca_system_score_gemma":0.003094201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004182518,"about_ca_topic_score_gemma":0.002513087,"domain_scores_codex":[0.9815564,0.01454825,0.0007475034,0.0009066624,0.001909473,0.0003317523],"domain_scores_gemma":[0.9218698,0.06741188,0.003487659,0.003907268,0.002663982,0.0006595179],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007643209,0.00006191702,0.00537095,0.0004212655,0.0000535414,0.0001656552,0.06093323,0.005847476,0.0008456974,0.8946614,0.001242631,0.03031979],"study_design_scores_gemma":[0.00007750921,0.0001482048,0.005984552,0.0008854738,0.0001147884,0.0006016673,0.0487971,0.0669827,0.001380152,0.8188769,0.05598876,0.0001621025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1874366,0.00278827,0.7430384,0.009425551,0.0001806426,0.0006584056,0.0007038441,0.0008087744,0.05495964],"genre_scores_gemma":[0.8328208,0.000898985,0.162143,0.0005845852,0.00006446928,0.0008803125,0.0006017011,0.0001041884,0.001901922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9983208,"threshold_uncertainty_score":0.1001023,"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."}}