{"id":"W2972898303","doi":"10.1145/3341162.3343760","title":"iSNoW","year":2019,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Novelty; Wearable computer; Distraction; Computer science; Human–computer interaction; Wearable technology; Perception; Thematic analysis; Psychology; Qualitative research; Cognitive psychology; Social psychology; Sociology","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":[0.001036822,0.0007724134,0.0004376808,0.0008102406,0.0006233283,0.00149809,0.001141948,0.0008453014,0.06419791],"category_scores_gemma":[0.002020021,0.0003768169,0.0006461093,0.0004516502,0.0003816172,0.001534871,0.002457839,0.00063356,0.02286549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002673102,"about_ca_system_score_gemma":0.0004722438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057358,"about_ca_topic_score_gemma":0.001618229,"domain_scores_codex":[0.9992477,0.000110047,0.00004448484,0.0001891057,0.0003296635,0.00007921209],"domain_scores_gemma":[0.9991099,0.0001428952,0.00004656041,0.0001761134,0.0003311193,0.0001933427],"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":[0.001275628,0.0002610888,0.00700097,0.00121913,0.00007096653,0.0009163656,0.001689514,0.00085136,0.1088723,0.02527494,0.087708,0.7648597],"study_design_scores_gemma":[0.00007979663,0.0008184566,0.008450387,0.0002547484,0.00007727313,0.001668054,0.0003314626,0.004113541,0.02234015,0.003518509,0.958245,0.0001025852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0882957,0.003724664,0.4013045,0.00189609,0.003574009,0.001857846,0.005912085,0.01753613,0.475899],"genre_scores_gemma":[0.3151247,0.002704478,0.2907315,0.001676439,0.0005762335,0.001505173,0.009415216,0.003008828,0.3752573],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06419791,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005662309572898486,"score_gpt":0.2276518239281002,"score_spread":0.2219895143552017,"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."}}