{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.00142772,0.0007275538,0.0009669073,0.0007879569,0.005361889,0.0009857899,0.001335614,0.0006653933,0.01528902],"category_scores_gemma":[0.0004430076,0.0009576234,0.0006168769,0.000903756,0.003094689,0.0006907133,0.0002352875,0.0008597691,0.007125934],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006033955,"about_ca_system_score_gemma":0.002305043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3120575,"about_ca_topic_score_gemma":0.7700237,"domain_scores_codex":[0.9937949,0.001177789,0.0008986008,0.001284189,0.001316283,0.001528281],"domain_scores_gemma":[0.9964507,0.0002899197,0.000623883,0.001225771,0.0002506853,0.001159051],"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":[0.00004917242,0.0005014185,0.0004299709,0.0002467506,0.0001502256,0.0001782413,0.03559228,0.0000870484,0.0003833009,0.1102103,0.7212021,0.1309692],"study_design_scores_gemma":[0.0007968682,0.0001677999,0.000919372,0.0001871159,0.0002236415,0.00001370907,0.003199362,0.0001607063,0.00001401286,0.00136323,0.9918416,0.001112561],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008815624,0.0106929,0.0003660698,0.02492538,0.00752517,0.000779881,0.0002552379,0.0006034251,0.9460363],"genre_scores_gemma":[0.3848406,0.001256915,0.0001592782,0.002145474,0.001866871,0.00003841618,0.0001044068,0.0001390484,0.609449],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4579662,"threshold_uncertainty_score":0.9996183,"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."}}