{"id":"W4243292319","doi":"10.7287/peerj.preprints.473","title":"Building an ecological knowledge of virtual worlds","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Digital Games and Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Metaverse; Computer science; Ecology; Virtual reality; Order (exchange); Human–computer interaction; Biology; Business","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":[0.002210175,0.0005882793,0.000642342,0.003572861,0.002903968,0.01134039,0.002009928,0.001956638,0.004988311],"category_scores_gemma":[0.009257231,0.0007544646,0.0007575633,0.001630812,0.01547722,0.02606863,0.009483317,0.004150272,0.0009862145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643866,"about_ca_system_score_gemma":0.001849956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004628646,"about_ca_topic_score_gemma":0.002888313,"domain_scores_codex":[0.9984558,0.0005505541,0.00009975181,0.0003937697,0.0003864689,0.0001136479],"domain_scores_gemma":[0.9950983,0.002197453,0.0002922191,0.001583432,0.0005085656,0.0003201118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006594655,0.00003270373,0.001045944,0.0001119756,0.00002174934,0.0001367699,0.002487545,0.002737382,0.0003173661,0.9679139,0.001911687,0.02327646],"study_design_scores_gemma":[0.000002202116,0.000005692804,0.0006348324,0.0001443954,0.000008892496,0.0001097881,0.001240153,0.003321526,0.000221753,0.9434657,0.05082922,0.00001585666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0849366,0.008570116,0.4823039,0.03448094,0.0009567003,0.0001168668,0.000667871,0.0004613152,0.3875057],"genre_scores_gemma":[0.848911,0.01055294,0.1251509,0.001999949,0.0006874228,0.0001435694,0.0008528729,0.0001852613,0.011516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01134039,"threshold_uncertainty_score":0.01668757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03854557703614261,"score_gpt":0.3554716951054152,"score_spread":0.3169261180692725,"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."}}