{"id":"W1942043528","doi":"","title":"Dessiner la modernite. L’epilogue ‘photographique’ de Magasin General","year":2015,"lang":"fr","type":"article","venue":"Image & narrative","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art; Modernity; Art history; Cartography; Geography; Philosophy","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":[0.0006381171,0.0003067009,0.0001225594,0.0005734089,0.006156859,0.00225206,0.0004412069,0.0007984845,0.02285724],"category_scores_gemma":[0.0009595823,0.0001615751,0.00009185618,0.0009497404,0.002916561,0.001536892,0.001206719,0.001915302,0.001276588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01311678,"about_ca_system_score_gemma":0.005042676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4522189,"about_ca_topic_score_gemma":0.6799275,"domain_scores_codex":[0.999633,0.000137428,0.000005717393,0.00005672058,0.00009013445,0.00007705573],"domain_scores_gemma":[0.9997798,0.00004817212,0.00002063335,0.00001290549,0.00006348801,0.00007504281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001439325,0.00003987525,0.003811865,0.0004639356,0.000007826363,0.002034974,0.2530282,0.0001148052,0.005291415,0.1161765,0.5556707,0.06321606],"study_design_scores_gemma":[0.000001295607,0.000005109603,0.003669417,0.00005230253,7.654416e-7,0.0001021532,0.02006643,0.000008170248,0.0001026455,0.0002523311,0.9757349,0.000004477012],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1527179,0.04322439,0.001582157,0.1358725,0.009838732,0.0001997089,0.00118309,0.0001612159,0.6552203],"genre_scores_gemma":[0.5905422,0.008590027,0.000992172,0.0111159,0.0008161614,0.00009547882,0.0002911166,0.000136399,0.3874205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5477811,"threshold_uncertainty_score":0.8991734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946008293079101,"score_gpt":0.2940405830079288,"score_spread":0.2645805000771378,"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."}}