{"id":"W2064653345","doi":"10.1145/2757226.2757240","title":"Intersecting with Unaware Objects","year":2015,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Creativity; Table (database); Computer science; Set (abstract data type); Everyday life; Context (archaeology); Human–computer interaction; Cognitive science; Epistemology; Psychology; Social psychology","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":[0.00389086,0.000531648,0.0005726538,0.001070633,0.002421857,0.008339055,0.00118537,0.001261175,0.003753521],"category_scores_gemma":[0.01465995,0.0006220064,0.0008388982,0.0006740264,0.007200977,0.01026673,0.008329057,0.001777796,0.0005182059],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006406332,"about_ca_system_score_gemma":0.001016557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004821063,"about_ca_topic_score_gemma":0.0006611226,"domain_scores_codex":[0.9941247,0.00273369,0.0003759079,0.001276246,0.00107138,0.000418097],"domain_scores_gemma":[0.9849349,0.008755226,0.001271449,0.003925156,0.0006029024,0.0005103068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004965983,0.0001855601,0.02933144,0.0007178422,0.0001019433,0.002583652,0.1316227,0.006493856,0.02357867,0.6686328,0.00121007,0.1350449],"study_design_scores_gemma":[0.0001330887,0.0008080471,0.01878567,0.0008528995,0.000329374,0.005673294,0.07872806,0.03548983,0.03610243,0.6918654,0.1309488,0.0002831029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5172148,0.0005089326,0.4243062,0.0006938396,0.0001101368,0.0002131511,0.00007472051,0.0005168387,0.0563615],"genre_scores_gemma":[0.9216419,0.0001021224,0.07496447,0.00008726778,0.00001750081,0.0001549215,0.00004256541,0.0000828937,0.002906331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008339055,"threshold_uncertainty_score":0.02057707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03905868450243574,"score_gpt":0.2600981146808991,"score_spread":0.2210394301784633,"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."}}