{"id":"W2958867847","doi":"10.33178/alpha.17.11","title":"Surface and light","year":2019,"lang":"en","type":"article","venue":"Alphaville Journal of Film and Screen Media","topic":"Cinema and Media Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Situated; Dirt; Exhibition; Urbanity; Embodied cognition; Visual arts; Fantasy; Movie theater; Space (punctuation); Art; Aesthetics; Computer science; Engineering; Artificial intelligence; Geography; Cartography; Literature","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004162895,0.00009608965,0.0004129733,0.000101781,0.00003985453,0.00002584276,0.00008137532,0.00005510724,0.0002497519],"category_scores_gemma":[0.0001172603,0.00008261996,0.00005899184,0.00007337459,0.00003999754,0.0001714144,0.00004512574,0.0001353192,0.00006157688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009342177,"about_ca_system_score_gemma":0.00001139089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003753037,"about_ca_topic_score_gemma":0.0000267367,"domain_scores_codex":[0.9992529,0.000007598323,0.0004099577,0.0001291919,0.00004810544,0.0001522442],"domain_scores_gemma":[0.9993418,0.0001114084,0.0002711957,0.00009401029,0.00004304159,0.0001385556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009694611,0.00007733799,0.9278046,0.00006163877,0.0002249137,0.00005325598,0.004056966,0.000008974701,0.0005537616,0.02096106,0.03759731,0.008503209],"study_design_scores_gemma":[0.004483546,0.0006522356,0.5594981,0.000140792,0.00005575636,0.0002628995,0.002726918,0.0002066328,0.0004506957,0.006631078,0.4243974,0.00049396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9507679,0.03309317,0.0000316349,0.002086712,0.0006089802,0.00006467017,0.00002276655,0.000003695886,0.0133205],"genre_scores_gemma":[0.9908951,0.00682206,0.0006775959,0.0001915486,0.0001808492,3.518977e-7,0.00000136427,0.000009755149,0.001221363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3868001,"threshold_uncertainty_score":0.3369144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02050531568579016,"score_gpt":0.2140718277584059,"score_spread":0.1935665120726157,"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."}}