{"id":"W4243909707","doi":"10.32920/ryerson.14648052","title":"Facing Canada: portraits in Toronto","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Photography and Visual Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portrait; Nexus (standard); Subject (documents); Representation (politics); Identity (music); Visual arts; Multiculturalism; Colonialism; National identity; Ethnography; Media studies; Identification (biology); National Identities; Sociology; History; Art; Aesthetics; Political science; Law; Anthropology; Computer science; Library science; Archaeology","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":[0.0002642593,0.0006254003,0.0002027875,0.001102507,0.01466863,0.003702197,0.0007297658,0.001111656,0.01462158],"category_scores_gemma":[0.0007340851,0.0002300088,0.0002844889,0.00329566,0.004075637,0.001018766,0.001674182,0.001885284,0.001003915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0491154,"about_ca_system_score_gemma":0.01955085,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9791047,"about_ca_topic_score_gemma":0.9958354,"domain_scores_codex":[0.9994721,0.0001052885,0.00001019935,0.00005918384,0.0001461462,0.0002070049],"domain_scores_gemma":[0.9995872,0.00007479332,0.00003393136,0.00002209657,0.0001066001,0.0001753052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002261707,0.00002857761,0.01673939,0.0007410415,0.00006927681,0.01104905,0.7160369,0.001600618,0.004927781,0.07634043,0.1364469,0.03579394],"study_design_scores_gemma":[0.000007493546,0.00002528992,0.04026463,0.0003820856,0.00005023917,0.001168387,0.3608935,0.0003937484,0.0006980332,0.001558681,0.5945053,0.00005266808],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.433538,0.01655888,0.002090242,0.01770776,0.000979775,0.0001169193,0.004864784,0.0001660976,0.5239775],"genre_scores_gemma":[0.918001,0.005889513,0.001182394,0.000690261,0.00007170421,0.00002243012,0.000749085,0.00009302704,0.07330054],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0491154,"threshold_uncertainty_score":0.3563589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03257480997656717,"score_gpt":0.255253576993605,"score_spread":0.2226787670170378,"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."}}