{"id":"W1591513817","doi":"10.1007/11670834_6","title":"Developing AMIE: An Adaptive Multimedia Integrated Environment","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Multimedia; Search engine indexing; Presentation (obstetrics); World Wide Web; Information retrieval","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":[0.0006929917,0.0008146732,0.0005222266,0.0004168132,0.0002665823,0.001063737,0.002250332,0.0009070492,0.009273856],"category_scores_gemma":[0.001342674,0.0005179145,0.0005185617,0.0002851461,0.0002613126,0.001741035,0.001600448,0.001139326,0.003860243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001799509,"about_ca_system_score_gemma":0.000338804,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005611719,"about_ca_topic_score_gemma":0.0007586321,"domain_scores_codex":[0.9996077,0.00004552386,0.00002656891,0.0001018792,0.0001739746,0.0000442994],"domain_scores_gemma":[0.9996238,0.0001056081,0.00002066329,0.00007210724,0.0001196377,0.00005824251],"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":[0.001013399,0.0006109294,0.001866804,0.0004107602,0.0002083105,0.0007728128,0.0007135074,0.01995425,0.2879265,0.01493301,0.02882699,0.6427628],"study_design_scores_gemma":[0.0003528669,0.001066295,0.00233006,0.0001131103,0.0002638897,0.001791837,0.000310762,0.3819795,0.3799659,0.01043453,0.2212354,0.0001559264],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009810828,0.00009086022,0.9574448,0.00006746346,0.00005786067,0.0001669324,0.0001713077,0.02732322,0.004866657],"genre_scores_gemma":[0.08467858,0.0001884521,0.8938234,0.0001940662,0.00005535592,0.0002523989,0.001352566,0.002906698,0.01654853],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009273856,"threshold_uncertainty_score":0.03102416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01901763583519407,"score_gpt":0.2264962729354459,"score_spread":0.2074786371002518,"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."}}