{"id":"W4379512017","doi":"10.32920/23302199","title":"Mediated Landscapes: Technology and Environment in Recent Canadian Cinema","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ecocriticism and Environmental Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Social Sciences and Humanities Research Council; Toronto Metropolitan University; Film Studies Association of Canada; Centre for Social Innovation; York University","funders":"Queen's University; University of Cambridge; University of Minnesota; McGill University; Princeton University; University of Alberta; Brown University; National Aeronautics and Space Administration","keywords":"Anthropocene; Humanity; Ecological crisis; Movie theater; Environmental ethics; Environmental crisis; Mythology; History; Aesthetics; Political science; Sociology; Art; Literature; Law; Philosophy; Art history","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008847738,0.0002189913,0.0002502581,0.0006442042,0.000090655,0.000105816,0.0001502665,0.0002681604,0.005691409],"category_scores_gemma":[0.00001414584,0.0001929332,0.00002552927,0.00003615489,0.000135891,0.00003901247,0.0002931472,0.000493013,0.0003965966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001271479,"about_ca_system_score_gemma":0.00003271218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0268899,"about_ca_topic_score_gemma":0.5804364,"domain_scores_codex":[0.9989199,0.00001795171,0.0002389471,0.0003969675,0.00009623066,0.0003299903],"domain_scores_gemma":[0.9995924,0.00002681984,0.00003333531,0.0002114173,0.000005680454,0.0001303945],"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":[0.00005543911,0.0004826762,0.0429413,0.001238771,0.0003913161,0.001729779,0.07020686,0.0003904248,0.0001403931,0.737649,0.1211519,0.02362208],"study_design_scores_gemma":[0.0002571059,0.00003178873,0.00247073,0.000123746,0.00001602806,0.000003143167,0.00359555,0.0001237073,0.000009030964,0.01948956,0.9735404,0.0003391756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3706991,0.008591948,0.000005276803,0.119801,0.002604561,0.001946288,0.003184069,0.000685837,0.4924819],"genre_scores_gemma":[0.9577971,0.01016384,0.0001288946,0.001353607,0.0003306826,0.0001920262,0.001321909,0.00007723942,0.02863474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8523885,"threshold_uncertainty_score":0.9952175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01729416658117789,"score_gpt":0.1898883023645254,"score_spread":0.1725941357833476,"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."}}