{"id":"W2527926702","doi":"","title":"Elizabeth Cleaver Memorial Lecture","year":2008,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002588562,0.000470197,0.0002655312,0.0008394032,0.003825101,0.005430803,0.0006774231,0.001632978,0.08023714],"category_scores_gemma":[0.005946597,0.0002683702,0.0002183241,0.0008158657,0.001911394,0.003056311,0.003622906,0.004038409,0.0285516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00442672,"about_ca_system_score_gemma":0.005912904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01123942,"about_ca_topic_score_gemma":0.03039804,"domain_scores_codex":[0.9986436,0.0003375987,0.00005001268,0.0002495041,0.0005372841,0.0001820731],"domain_scores_gemma":[0.9978924,0.000472701,0.00009918599,0.0001658118,0.0004224635,0.0009474141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007871288,0.000006110705,0.0001101463,0.00003328934,0.000001318564,0.00007600346,0.0004739931,0.00002151118,0.00009633463,0.01774573,0.9523158,0.02911193],"study_design_scores_gemma":[3.64766e-7,0.000001617776,0.00009916362,0.00006298086,4.050276e-7,0.00004673052,0.0002172784,0.000004861418,0.00003073701,0.0009211496,0.9986126,0.000001972996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.002527163,0.1181284,0.002567186,0.3447309,0.07359093,0.00005486919,0.0005510309,0.0002572605,0.4575923],"genre_scores_gemma":[0.01576549,0.04027617,0.001497271,0.01340988,0.00513177,0.00004531415,0.0001487748,0.0001552452,0.92357],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.08023714,"threshold_uncertainty_score":0.26842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02652256775574733,"score_gpt":0.246033062089499,"score_spread":0.2195104943337517,"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."}}