{"id":"W3092937404","doi":"","title":"Methodology of Measure of Similarity in Student Video Sequence of Interactions.","year":2020,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Polytechnique Montréal","funders":"","keywords":"Measure (data warehouse); Computer science; Sequence (biology); Similarity (geometry); Similarity measure; Artificial intelligence; Data mining","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":[0.001321161,0.0001551444,0.0005864573,0.0003916449,0.00003064947,0.00002253088,0.0009417055,0.0001260169,0.0000131069],"category_scores_gemma":[0.0007829183,0.0001540529,0.0001787113,0.001360427,0.00008043308,0.0003953072,0.000344721,0.0002570029,7.324624e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030542,"about_ca_system_score_gemma":0.0001932989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004530426,"about_ca_topic_score_gemma":0.002492447,"domain_scores_codex":[0.9976331,0.0005293644,0.0008679132,0.0003469197,0.0003962969,0.0002263907],"domain_scores_gemma":[0.9981458,0.0002883573,0.000550709,0.0006076585,0.0002981382,0.000109323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001268226,0.0006293465,0.3404117,0.0001896229,0.0001774049,0.00002559054,0.004857434,0.02651022,0.4671225,0.1211235,0.0003056233,0.03852023],"study_design_scores_gemma":[0.0006083188,0.0003513135,0.1165197,0.0001281051,0.000063782,0.00001279492,0.0003221245,0.6242727,0.2525553,0.004646617,0.0002200895,0.000299166],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07961025,0.0003260638,0.9158701,0.003687041,0.00004520196,0.0002441567,0.00001474946,0.00006156699,0.000140923],"genre_scores_gemma":[0.8118231,0.0000641744,0.1875353,0.000513968,0.00001283728,0.00002820835,0.000004349425,0.000008181502,0.000009894511],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7322128,"threshold_uncertainty_score":0.6848679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05869953715184739,"score_gpt":0.3070060560618234,"score_spread":0.248306518909976,"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."}}