{"id":"W2148427773","doi":"10.3917/docsi.412.0096","title":"Étude comparative des fonctionnalités des moteurs de recherche d'images sur Internet","year":2004,"lang":"fr","type":"article","venue":"Documentaliste-Sciences de l Information","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Child, Adolescent and Family Mental Health","funders":"","keywords":"Humanities; Molecular biology; Artificial intelligence; Computer science; Philosophy; Biology","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.004027928,0.0003158017,0.0002560001,0.0002597616,0.0007445962,0.002017198,0.001137759,0.0002654702,0.0001122027],"category_scores_gemma":[0.000349025,0.0003088878,0.0001518045,0.001506651,0.002273563,0.01527948,0.0002537258,0.0004394564,0.0002317366],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004122763,"about_ca_system_score_gemma":0.0009688584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009261423,"about_ca_topic_score_gemma":0.0004297751,"domain_scores_codex":[0.9969441,0.0006314323,0.0007235034,0.0003347579,0.0005872734,0.0007788936],"domain_scores_gemma":[0.9983875,0.0002127621,0.0004311889,0.0003115851,0.0004099374,0.0002470519],"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":[0.00009275925,0.0005166698,0.005285058,0.0006222447,0.00009074432,0.00001344299,0.2143481,0.001979977,0.004197853,0.4854767,0.001911777,0.2854647],"study_design_scores_gemma":[0.001077222,0.0009830756,0.01663913,0.0008275704,0.00004799085,0.0005061715,0.01048338,0.03653167,0.7283955,0.1939107,0.009755784,0.0008418629],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1057739,0.001278754,0.8756387,0.002167473,0.0004318598,0.0003538699,0.00002278827,0.0002567,0.01407594],"genre_scores_gemma":[0.8257509,0.0006387485,0.170305,0.001333875,0.00008034982,0.0000593921,0.00003212642,0.000008265254,0.001791264],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7241976,"threshold_uncertainty_score":0.9999363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3457585270725763,"score_gpt":0.4280278133287331,"score_spread":0.08226928625615687,"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."}}