{"id":"W4381058896","doi":"10.56198/itig2vts8","title":"Diving into SDG 14, Life Below Water: A VR Experience for Deeper Understanding","year":2023,"lang":"en","type":"article","venue":"","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Virtual reality; Computer science; Human–computer interaction","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004982647,0.0001015816,0.0001596904,0.0001445474,0.001430036,0.0002003484,0.0003756622,0.00008732834,0.0005535171],"category_scores_gemma":[0.006317499,0.00007863705,0.00007900895,0.000538413,0.000409328,0.0004081895,0.0001933347,0.0001011655,0.0002081245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003660684,"about_ca_system_score_gemma":0.0002156817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008466632,"about_ca_topic_score_gemma":0.001371532,"domain_scores_codex":[0.9973503,0.0004780481,0.0002010172,0.0003114036,0.0006850944,0.0009740903],"domain_scores_gemma":[0.9981018,0.001159827,0.00002423669,0.0001740925,0.0000879915,0.0004520861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006117976,0.00006776392,0.01384072,0.00007136534,0.00005478754,0.0000148717,0.7159624,0.00005211579,0.01732633,0.2394985,0.005590559,0.007459387],"study_design_scores_gemma":[0.0009946505,0.0002695784,0.001806488,0.00009380199,0.00002699156,3.851948e-7,0.4969948,0.008396653,0.0411655,0.1789069,0.2703846,0.0009597098],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8154553,0.00003207054,0.1618789,0.003297386,0.0005835342,0.0006888791,0.000002041579,0.0005593675,0.0175025],"genre_scores_gemma":[0.990115,0.00002512111,0.004242155,0.0002418364,0.0001862352,0.0002710258,0.000001688363,0.00001842539,0.004898535],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.264794,"threshold_uncertainty_score":0.9998699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8225074099485765,"score_gpt":0.6701403077653383,"score_spread":0.1523671021832382,"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."}}