{"id":"W4402520826","doi":"10.1145/3677386.3682103","title":"Improving Video Navigation for Spatial Task Tutorials by Spatially Segmenting and Situating How-To Videos","year":2024,"lang":"en","type":"article","venue":"","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of Saskatchewan; University of New Brunswick","funders":"","keywords":"Computer science; Task (project management); Computer vision; Market segmentation; Artificial intelligence; Multimedia; Computer graphics (images); Business; Engineering","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":[0.0004755301,0.0009509863,0.0004698864,0.00063319,0.0002518916,0.001094009,0.0008087538,0.0006742763,0.004753368],"category_scores_gemma":[0.006238081,0.0002057157,0.0002721523,0.0003928242,0.0002088443,0.002027345,0.001045554,0.0005047878,0.001277357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003030809,"about_ca_system_score_gemma":0.0005690492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001919754,"about_ca_topic_score_gemma":0.004331409,"domain_scores_codex":[0.9997007,0.00008967215,0.00001665359,0.0000839416,0.00007034864,0.00003870513],"domain_scores_gemma":[0.9976794,0.001136155,0.0002581172,0.0003137674,0.0004250779,0.0001875849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007424469,0.001540698,0.004604923,0.0008304202,0.00005828128,0.0001907244,0.001948479,0.01327503,0.2157516,0.002399709,0.003451455,0.7552063],"study_design_scores_gemma":[0.0005025274,0.01067576,0.06498557,0.0005465616,0.0007475329,0.001974567,0.003804221,0.4307446,0.3864865,0.008062555,0.09107126,0.0003983859],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4848063,0.001036998,0.4988776,0.0001839117,0.00007925291,0.0003530722,0.0001984431,0.007251453,0.007212953],"genre_scores_gemma":[0.5464936,0.0006420953,0.4469147,0.0001113011,0.00003444861,0.0002145654,0.0004271539,0.0003322301,0.004829865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004753368,"threshold_uncertainty_score":0.01590163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007795163461085566,"score_gpt":0.2300812795014302,"score_spread":0.2222861160403447,"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."}}