{"id":"W2463396900","doi":"10.3390/s16071102","title":"Sensors for Entertainment","year":2016,"lang":"en","type":"editorial","venue":"Sensors","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Entertainment; Field (mathematics); State (computer science); Computer science; Engineering; Art; Visual arts","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":[0.003546182,0.002752674,0.001856007,0.002301899,0.001896888,0.005635454,0.002224047,0.01040994,0.01535486],"category_scores_gemma":[0.01087316,0.0007694447,0.001362579,0.001013776,0.002281289,0.004491036,0.002036589,0.01658506,0.01603047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748551,"about_ca_system_score_gemma":0.002107519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007549994,"about_ca_topic_score_gemma":0.002610458,"domain_scores_codex":[0.9960923,0.0005086257,0.0004150599,0.0004896776,0.002323564,0.0001707968],"domain_scores_gemma":[0.9927905,0.002542691,0.0004846844,0.0003020999,0.002865233,0.001014838],"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":[0.00001781914,0.000006930132,0.00001229531,0.0002234796,0.000007096972,0.00004734382,0.00001237598,0.00001855771,0.0001533439,0.001671908,0.9825543,0.01527452],"study_design_scores_gemma":[0.000006680448,0.00001171606,0.00004886833,0.0001214509,0.000005357294,0.00009389391,0.000008837605,0.00002493563,0.0000689549,0.0007958174,0.9988097,0.000003863007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003243886,0.02679817,0.0003123801,0.02622368,0.9405044,0.00001850264,0.00004668959,0.00006674493,0.00599701],"genre_scores_gemma":[0.0007808578,0.03306206,0.0003293862,0.02756326,0.8931372,0.00003323244,0.00006851042,0.00008252026,0.04494302],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01535486,"threshold_uncertainty_score":0.05136716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489137773368058,"score_gpt":0.3137583352210051,"score_spread":0.2988669574873245,"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."}}