{"id":"W2296536497","doi":"","title":"RE@CT - Immersive Production and Delivery of Interactive 3D Content","year":2012,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Human Motion and Animation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Research (Canada)","funders":"","keywords":"Computer science; Animation; Reuse; Key (lock); Motion capture; Process (computing); Multimedia; Post-production; Studio; Representation (politics); Computer animation; Computer graphics (images); Production (economics); Human–computer interaction; Motion (physics); Artificial intelligence; Engineering","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":[0.0007662413,0.001120866,0.0005901114,0.000635859,0.0004872469,0.001626962,0.001645244,0.001711652,0.07897686],"category_scores_gemma":[0.001892964,0.0008605623,0.0008144862,0.00045839,0.0007362713,0.001131548,0.001925779,0.001379876,0.01514599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004808332,"about_ca_system_score_gemma":0.0006369587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002026046,"about_ca_topic_score_gemma":0.002318833,"domain_scores_codex":[0.9993355,0.0001035762,0.00002661078,0.00008734314,0.0003737434,0.00007327249],"domain_scores_gemma":[0.9990218,0.0003101305,0.00003814054,0.000301511,0.0001687903,0.0001597583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002712157,0.0006927687,0.0009127416,0.00081502,0.0001129517,0.002445703,0.001112014,0.02596826,0.596997,0.01147859,0.09941923,0.2573335],"study_design_scores_gemma":[0.000568112,0.001087831,0.005905855,0.0001593669,0.0001174436,0.00490933,0.0002752683,0.1481192,0.5997339,0.004629304,0.2342112,0.0002832767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08832441,0.0008450675,0.6898448,0.0008536202,0.001155311,0.001292897,0.00685232,0.07975899,0.1310725],"genre_scores_gemma":[0.4000837,0.0007032815,0.3985337,0.000438458,0.0002889533,0.0008192568,0.008699495,0.01835898,0.1720741],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07897686,"threshold_uncertainty_score":0.264204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02628148190232238,"score_gpt":0.2214602207410976,"score_spread":0.1951787388387752,"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."}}