{"id":"W2152346589","doi":"10.7202/1017371ar","title":"La photographie de l’espace, l’espace de la photographie","year":2013,"lang":"fr","type":"article","venue":"Arborescences Revue d études françaises","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"ESPACE; Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006072631,0.0004714931,0.0001313884,0.001338355,0.005023438,0.002863743,0.0004112055,0.000996162,0.02636221],"category_scores_gemma":[0.001364615,0.0002173943,0.0002706997,0.001354418,0.004680803,0.002417207,0.001729149,0.001945528,0.002638006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002990347,"about_ca_system_score_gemma":0.001844218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02325052,"about_ca_topic_score_gemma":0.08297212,"domain_scores_codex":[0.999559,0.0001702244,0.0000116967,0.00007453992,0.0001177327,0.00006680887],"domain_scores_gemma":[0.9995865,0.0001785097,0.00003529949,0.00006627573,0.00008547827,0.00004796626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003167503,0.00004956656,0.006069504,0.0009932239,0.00003574359,0.002589901,0.3171773,0.0003175076,0.01248071,0.3657941,0.1497483,0.1444275],"study_design_scores_gemma":[0.00000978167,0.00003795424,0.007828796,0.0002934157,0.000007494711,0.0007062765,0.0515549,0.00006818557,0.001539386,0.003469723,0.9344643,0.0000198842],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1237038,0.006872579,0.006843732,0.008641978,0.002399026,0.0001469514,0.001145028,0.0001778001,0.850069],"genre_scores_gemma":[0.6690208,0.003992753,0.004809373,0.001571933,0.0004436595,0.0001073772,0.000472003,0.0003183617,0.3192637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02636221,"threshold_uncertainty_score":0.08819038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638316946269351,"score_gpt":0.2526456787287558,"score_spread":0.2362625092660623,"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."}}