{"id":"W2978394845","doi":"","title":"Landscape Photography and its Temporal Register / La photographie de paysage et son registre temporel","year":2016,"lang":"en","type":"article","venue":"Esse/Esse arts + opinions","topic":"Landscape and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Register (sociolinguistics); Art; Photography; Visual arts; Philosophy; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001831696,0.0001905762,0.0001144388,0.005362291,0.002234528,0.004313269,0.0003505154,0.0004299017,0.0224657],"category_scores_gemma":[0.003514302,0.0002367307,0.000209306,0.005662072,0.0016933,0.001913101,0.001286902,0.0008577253,0.001516412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00238356,"about_ca_system_score_gemma":0.002561004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1271632,"about_ca_topic_score_gemma":0.2516596,"domain_scores_codex":[0.9992509,0.0002275157,0.0000725709,0.0001159646,0.0002265613,0.0001063987],"domain_scores_gemma":[0.9983286,0.0003094629,0.0003055065,0.0002341817,0.0006694912,0.0001526287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000678163,0.0001285429,0.1816065,0.0009460662,0.0001022364,0.00133184,0.04136374,0.0008357776,0.006633451,0.2200137,0.09327122,0.4530888],"study_design_scores_gemma":[0.000007785186,0.00006324801,0.4744966,0.0003445562,0.00002919112,0.0006480176,0.01948156,0.0001506019,0.0008248754,0.001983791,0.5019341,0.00003572343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3244479,0.02376218,0.003709113,0.009017756,0.001294123,0.0001270598,0.006006158,0.0001820957,0.6314536],"genre_scores_gemma":[0.84031,0.01045294,0.004254911,0.0004840498,0.0007507034,0.00009064477,0.002127767,0.0002106509,0.1413183],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1271632,"threshold_uncertainty_score":0.252846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03014731648968107,"score_gpt":0.2516029853205777,"score_spread":0.2214556688308966,"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."}}