{"id":"W6983160370","doi":"","title":"Les textes d'introduction de documents Web, essai de caractérisation","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Subject (documents); Set (abstract data type); Focus (optics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001126675,0.0008573475,0.0006784711,0.004490627,0.002169142,0.006585524,0.0007788686,0.001194977,0.1465181],"category_scores_gemma":[0.003395728,0.0003885649,0.0005235668,0.0052232,0.00106996,0.001917291,0.0008981978,0.001453193,0.05497924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006591433,"about_ca_system_score_gemma":0.006864737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2700455,"about_ca_topic_score_gemma":0.2538331,"domain_scores_codex":[0.9984949,0.0001864544,0.00006766018,0.0001597929,0.0009538836,0.0001374016],"domain_scores_gemma":[0.9973,0.0006128674,0.000112944,0.0001853387,0.001535121,0.0002538452],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001233159,0.00004078237,0.000426507,0.0003073434,0.000007300644,0.0001120089,0.0004254332,0.0002343471,0.001740995,0.01395094,0.8484358,0.1341953],"study_design_scores_gemma":[0.000005846923,0.000004119866,0.001480216,0.0000600859,0.000001909655,0.00004180933,0.00007579245,0.0001189943,0.0005018006,0.0004733141,0.9972314,0.000004677543],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009959016,0.05169557,0.01412812,0.01477208,0.01120135,0.0003320505,0.02495259,0.004757245,0.868202],"genre_scores_gemma":[0.00861979,0.007831201,0.002968021,0.000449612,0.0007660427,0.00006259732,0.004877128,0.0009116285,0.9735141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2700455,"threshold_uncertainty_score":0.5369473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002622259668066373,"score_gpt":0.1551656409438922,"score_spread":0.1525433812758258,"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."}}