{"id":"W4205905730","doi":"10.7202/1085316ar","title":"Our Ancient Forests: Virtual Visiting and Art for Conservation","year":2022,"lang":"en","type":"article","venue":"Performance Matters","topic":"Museums and Cultural Heritage","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Exhibition; Action (physics); The arts; Virtual reality; Sky; Family tree; Geography; History; Visual arts; Environmental ethics; Art; Computer science; Meteorology; Genealogy; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001240754,0.00006842828,0.00007154197,0.00002688169,0.0007215863,0.00009356663,0.00005512597,0.000006418412,0.0004545663],"category_scores_gemma":[0.000002243419,0.00005932206,0.00002515049,0.00001505377,0.00002570109,0.0002070727,0.0000433011,0.00005678311,0.00001569744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002808382,"about_ca_system_score_gemma":0.000006881173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001984576,"about_ca_topic_score_gemma":0.00009049464,"domain_scores_codex":[0.9995216,0.000007820727,0.0001111695,0.0001104839,0.00009932563,0.0001496107],"domain_scores_gemma":[0.9998394,0.00001050994,0.0000480578,0.00005615242,0.00002130454,0.00002455353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001997878,0.00008569966,0.01243106,0.0003526343,0.00004648198,0.000003105965,0.05865875,0.0002869969,0.001077815,0.09845526,0.8061093,0.02229311],"study_design_scores_gemma":[0.0003384527,0.0002204602,0.003861172,0.00001501389,0.00000801063,0.000005084506,0.02548351,0.007236745,0.00003775457,0.00005067396,0.962601,0.0001421346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922237,0.00002285154,0.00002447477,0.004884158,0.0003705102,0.0001742729,0.00004213549,0.00003587603,0.002222028],"genre_scores_gemma":[0.9860601,0.000003301426,0.00002815468,0.008001169,0.0001825653,0.0001238471,0.00003756846,0.000009388591,0.005553841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1564917,"threshold_uncertainty_score":0.5549932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03249501665999244,"score_gpt":0.2272292753404251,"score_spread":0.1947342586804326,"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."}}