{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001643339,0.0008103753,0.000397519,0.0004808643,0.001328516,0.002881608,0.001156446,0.002394572,0.01342915],"category_scores_gemma":[0.003062478,0.0002730594,0.0009843586,0.0002972219,0.00226672,0.002480872,0.0047056,0.002378321,0.001721455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005437637,"about_ca_system_score_gemma":0.0005825968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001142258,"about_ca_topic_score_gemma":0.0027518,"domain_scores_codex":[0.9990668,0.0004899135,0.00002201261,0.0001146066,0.0001121379,0.000194549],"domain_scores_gemma":[0.9989381,0.0005894591,0.00003926279,0.00007593564,0.00005893025,0.000298192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00097039,0.002763757,0.007802767,0.00319686,0.0001890306,0.007711752,0.4882051,0.009572299,0.1239502,0.03795978,0.08396132,0.2337166],"study_design_scores_gemma":[0.0004896935,0.00372475,0.01383405,0.001420714,0.0001493917,0.005780329,0.1597903,0.01291036,0.01676134,0.02208754,0.7625874,0.00046417],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7379977,0.001668326,0.1261943,0.007206613,0.001115278,0.0008527953,0.0009916996,0.002331921,0.1216414],"genre_scores_gemma":[0.8793511,0.001241722,0.07959016,0.001739408,0.0001709024,0.0004803308,0.0005895418,0.0004786751,0.0363581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01342915,"threshold_uncertainty_score":0.04492503,"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."}}