{"id":"W2972899537","doi":"10.1145/3351253","title":"FMT","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Fiducial marker; Computer science; Usability; CLIPS; Object (grammar); Computer vision; Artificial intelligence; Field (mathematics); Human–computer interaction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001054001,0.0006966987,0.0003753567,0.001180642,0.0007377312,0.001673315,0.001174629,0.001370539,0.3038117],"category_scores_gemma":[0.004060043,0.0002765835,0.0004299386,0.0008559663,0.0002507092,0.001958267,0.001716643,0.0005919444,0.1654438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005566475,"about_ca_system_score_gemma":0.0006533521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002554822,"about_ca_topic_score_gemma":0.003540306,"domain_scores_codex":[0.999435,0.00008339909,0.00004080884,0.0001410767,0.0002227408,0.00007687431],"domain_scores_gemma":[0.9985879,0.0003196788,0.00008353783,0.0003106164,0.0005519632,0.0001461995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004579111,0.000087537,0.001611188,0.0004569352,0.00001972134,0.0002806026,0.0005161682,0.0002441255,0.01005396,0.005161761,0.44758,0.5335301],"study_design_scores_gemma":[0.00005768828,0.0001463446,0.003411563,0.0001398322,0.00001798299,0.0006195967,0.0001741755,0.001507037,0.004299534,0.002009281,0.9875852,0.00003183347],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0239016,0.003473273,0.1402897,0.003924294,0.004013953,0.001298883,0.03827168,0.07551369,0.7093129],"genre_scores_gemma":[0.142206,0.002369853,0.08409073,0.004208446,0.001261975,0.001608682,0.05301364,0.00698872,0.7042521],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3038117,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006120203254591511,"score_gpt":0.2240112825935602,"score_spread":0.2178910793389687,"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."}}