{"id":"W1963554681","doi":"10.1353/ils.2011.0019","title":"Exploration de textes et recherche d’information","year":2011,"lang":"fr","type":"article","venue":"Canadian Journal of Information and Library Science","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Psychology; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01553489,0.001283261,0.0008691661,0.01166274,0.003500696,0.01817064,0.001470923,0.00286048,0.0119052],"category_scores_gemma":[0.08543196,0.0008809487,0.001601985,0.008346037,0.008489035,0.01364697,0.00452685,0.003664165,0.002949866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006593372,"about_ca_system_score_gemma":0.008838194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03718784,"about_ca_topic_score_gemma":0.02261996,"domain_scores_codex":[0.9726802,0.01749633,0.001069032,0.001778535,0.006422588,0.0005531891],"domain_scores_gemma":[0.9204225,0.06318673,0.002260525,0.003846736,0.009512146,0.0007714072],"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":[0.0007836868,0.000256207,0.00906195,0.002479641,0.0001968989,0.001091167,0.1142294,0.006267271,0.01476167,0.5131388,0.02476547,0.3129679],"study_design_scores_gemma":[0.0001915764,0.0002155359,0.01006748,0.001595174,0.0001820125,0.001610265,0.09807985,0.04206968,0.03304394,0.2112856,0.6014055,0.0002533669],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3420386,0.0327129,0.331637,0.05275015,0.001928261,0.0006918617,0.005873655,0.003229382,0.2291382],"genre_scores_gemma":[0.8076268,0.009787695,0.1222085,0.001028565,0.0007294444,0.0003672357,0.003720046,0.001284121,0.05324757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9818293,"threshold_uncertainty_score":0.08215737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202253320235016,"score_gpt":0.2732787784204272,"score_spread":0.1530534463969257,"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."}}