{"id":"W4252472321","doi":"10.1162/leon_a_01283","title":"Perceptual Cells: James Turrell’s Vision Machines Between Two Paracinemas","year":2016,"lang":"en","type":"article","venue":"Leonardo","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Emily Carr University of Art and Design","funders":"","keywords":"Perception; Movie theater; Architecture; Projection (relational algebra); Perceptual system; Cognitive science; Computer science; Visual arts; Psychology; Aesthetics; Cognitive psychology; Computer vision; Artificial intelligence; Art; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004962824,0.0001859632,0.000124994,0.000372403,0.001696355,0.004277888,0.0003470142,0.001029277,0.003808707],"category_scores_gemma":[0.002536409,0.0001679457,0.000144701,0.0002216348,0.006729883,0.004417283,0.001504815,0.001586331,0.0003943237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263607,"about_ca_system_score_gemma":0.0003830255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002214856,"about_ca_topic_score_gemma":0.002016801,"domain_scores_codex":[0.9996746,0.0001440639,0.000005874616,0.00006658873,0.00006390634,0.00004512796],"domain_scores_gemma":[0.9992945,0.0004183401,0.00004701978,0.00008127196,0.0000767019,0.00008211118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009094612,0.00002055033,0.000570518,0.0000449176,0.000003726921,0.000320165,0.0506813,0.0002051345,0.002619273,0.913115,0.01286784,0.01946058],"study_design_scores_gemma":[0.00005000583,0.0001277391,0.003461696,0.0001595072,0.00001710966,0.001134533,0.03229483,0.002192888,0.004336944,0.3652728,0.5908756,0.00007643478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3988339,0.006412656,0.03142126,0.04358549,0.0009093363,0.00005071609,0.00007708644,0.0002909983,0.5184186],"genre_scores_gemma":[0.9749312,0.0006997447,0.002782884,0.001237037,0.0001247179,0.0000144646,0.000008796699,0.00004479871,0.02015637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004277888,"threshold_uncertainty_score":0.01274139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803382978395737,"score_gpt":0.2542686450916027,"score_spread":0.2262348153076454,"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."}}