{"id":"W1790788316","doi":"10.4000/temoigner.1552","title":"Getuigen, NU: Passages van Catherine Dajczman","year":2014,"lang":"nl","type":"article","venue":"Témoigner. Entre Histoire et Mémoire","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Art; Humanities; Theology; Haar; Philosophy; Computer science; Artificial intelligence","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":[0.00203998,0.0005429203,0.0002518945,0.0008281399,0.0175126,0.005526384,0.001280116,0.002488397,0.008560835],"category_scores_gemma":[0.006228838,0.0003220113,0.0001799502,0.001037487,0.0117836,0.003588805,0.002143454,0.005575228,0.001557911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01768173,"about_ca_system_score_gemma":0.008537915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5458245,"about_ca_topic_score_gemma":0.6714255,"domain_scores_codex":[0.9980671,0.0009194873,0.00003581057,0.0002489364,0.0004464855,0.0002821815],"domain_scores_gemma":[0.9984044,0.000707236,0.0001225586,0.00007108404,0.0004165464,0.0002781413],"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":[0.00005578216,0.00001804637,0.0005680087,0.0001259324,0.000006490086,0.0009181469,0.1666688,0.00007347757,0.0005861185,0.1701472,0.64401,0.01682189],"study_design_scores_gemma":[0.000001860546,0.000002929482,0.0005263743,0.0001151324,0.000001894604,0.000150867,0.02276048,0.0000257524,0.0001830454,0.002826189,0.9733912,0.00001433833],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0216267,0.07645134,0.001417668,0.4657526,0.009923414,0.00006000948,0.0004438471,0.0001290481,0.4241953],"genre_scores_gemma":[0.4740605,0.02777033,0.001668464,0.08495458,0.003045043,0.0001421314,0.0001377041,0.0003118269,0.4079093],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4541755,"threshold_uncertainty_score":0.9137005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007849095214888753,"score_gpt":0.2210389067467197,"score_spread":0.213189811531831,"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."}}