{"id":"W648943382","doi":"","title":"Image technologies in Canadian literature : narrative, film, and photography","year":2009,"lang":"en","type":"book","venue":"","topic":"Literature, Film, and Journalism Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Photography; Art; Poetics; Narrative; Reading (process); Ledger; Visual arts; Art history; Order (exchange); Poetry; Literature; Philosophy; Linguistics","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001530345,0.0004717001,0.0006013801,0.002167714,0.0003621418,0.001501751,0.0002985824,0.0005135338,0.00232203],"category_scores_gemma":[0.00002110884,0.0003534517,0.0002354001,0.0001589819,0.0003628784,0.0004462702,0.00003483579,0.001102161,0.00001607074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001043436,"about_ca_system_score_gemma":0.0002832478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02589477,"about_ca_topic_score_gemma":0.7407102,"domain_scores_codex":[0.9984394,0.00003609406,0.0003832886,0.0004473221,0.0001920723,0.0005018251],"domain_scores_gemma":[0.9991273,0.0000337769,0.0001400346,0.000341911,0.0001929307,0.0001640558],"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":[0.000009967274,0.00002095504,0.00005993988,0.0001068713,0.0001593967,0.0004568043,0.07294399,1.156781e-7,0.000002559074,0.1850707,0.739615,0.001553723],"study_design_scores_gemma":[0.0001869662,0.00005268044,0.00002247674,0.0004788734,0.00006098274,0.00001616837,0.006394038,0.00001389074,0.000003227986,0.03348442,0.9588255,0.0004608348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001932152,0.01695318,3.989099e-7,0.001066451,0.0001492205,0.0002163232,0.0004191793,0.0001427553,0.9808593],"genre_scores_gemma":[0.005269286,0.002111403,0.0002071222,0.001159698,0.0004216564,0.00001462527,0.000664802,0.00003852526,0.9901129],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7148154,"threshold_uncertainty_score":0.9998918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006228679977537662,"score_gpt":0.193803349090917,"score_spread":0.1875746691133794,"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."}}