{"id":"W4250584864","doi":"10.32920/ryerson.14649399.v1","title":"Future Cinema: The Transition From Film-Making To Experience-Making Experiencing Alzheimer's Through Immersive Design For Emotions And Empathy In Extended Realities","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Thriving; Empathy; Isolation (microbiology); Social isolation; Psychology; Population ageing; Population; Transition (genetics); Social psychology; Sociology; Aesthetics; Psychotherapist; Art","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":[0.001427507,0.0006270744,0.0001673747,0.000289256,0.0009796792,0.003891585,0.0008162526,0.0008258534,0.01356362],"category_scores_gemma":[0.003285819,0.0002513974,0.0004545706,0.0001415387,0.001725934,0.002726366,0.003267974,0.001191077,0.001222186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003473165,"about_ca_system_score_gemma":0.000284541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003339556,"about_ca_topic_score_gemma":0.000919375,"domain_scores_codex":[0.9995025,0.0002920738,0.00001454146,0.00006712863,0.00006435032,0.00005937134],"domain_scores_gemma":[0.9989221,0.0006916279,0.00003368432,0.0001170311,0.00007514401,0.0001603945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007637147,0.00134671,0.004477954,0.002679811,0.0001495663,0.002402252,0.3731629,0.002749369,0.115353,0.1074365,0.05039432,0.3390839],"study_design_scores_gemma":[0.0003475328,0.002241596,0.01710553,0.002039524,0.0003471228,0.003927359,0.09651919,0.01158132,0.02956324,0.05714873,0.778915,0.0002638628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4771471,0.003503472,0.2694175,0.006393792,0.00208216,0.0009815886,0.0006396924,0.002674766,0.23716],"genre_scores_gemma":[0.8400146,0.001952743,0.1175364,0.0009570161,0.0002461651,0.000708345,0.0003781974,0.000678771,0.03752783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01356362,"threshold_uncertainty_score":0.04537475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1280032342687793,"score_gpt":0.4186883075934114,"score_spread":0.2906850733246321,"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."}}