{"id":"W2472178346","doi":"10.1145/2897824.2925983","title":"Rich360","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Image stitching; Parallax; Computer science; Computer vision; Artificial intelligence; Computer graphics (images); Projection (relational algebra); Pipeline (software); Surface (topology); Sampling (signal processing); Mathematics; Algorithm; Geometry","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":[],"consensus_categories":[],"category_scores_codex":[0.00008051493,0.00008927631,0.00007034894,0.0001768944,0.0001728139,0.00003551078,0.0006903152,0.00003359809,0.00004680525],"category_scores_gemma":[0.00002712659,0.00005963844,0.00007661486,0.0004908288,0.00005014164,0.0005227781,0.000009651852,0.0001062943,0.0001573268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001507017,"about_ca_system_score_gemma":0.00001814033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001840264,"about_ca_topic_score_gemma":0.000003172018,"domain_scores_codex":[0.9992554,0.0000236013,0.0001128126,0.000249635,0.0001764042,0.0001821031],"domain_scores_gemma":[0.9988363,0.000171686,0.00002690937,0.00083823,0.00004651013,0.00008030317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003495367,0.00006425839,0.00004986896,0.000001619963,0.000008894232,0.000003901054,0.00005866307,0.00001516558,0.001838802,0.02318981,0.0002680001,0.9744975],"study_design_scores_gemma":[0.003160728,0.0005831358,0.006196894,0.0002647739,0.0000323937,0.0001024845,0.00006268439,0.01736457,0.06457417,0.5797249,0.3265636,0.001369646],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000346555,0.00002698711,0.9888901,0.009572347,0.0003259085,0.00004719791,0.000002604668,0.0002492346,0.0005391318],"genre_scores_gemma":[0.7861748,0.0003379677,0.2098848,0.002719419,0.00002150395,0.00001461949,1.831448e-7,0.00001279181,0.0008339463],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9731278,"threshold_uncertainty_score":0.2431985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02070891255358616,"score_gpt":0.2718712598927874,"score_spread":0.2511623473392013,"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."}}