{"id":"W3031229819","doi":"10.1145/3313831.3376721","title":"transTexture Lamp: Understanding Lived Experiences with Deformation Through a Materiality Lens","year":2020,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Materiality (auditing); Through-the-lens metering; Perspective (graphical); Lens (geology); Aesthetics; Computer science; Visual arts; Art; Optics; Physics","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":[0.00007489184,0.0001159243,0.0001183754,0.00003937206,0.0001681021,0.0001584612,0.0003554597,0.00007272448,0.0001288596],"category_scores_gemma":[0.00001008526,0.00008363282,0.00002080141,0.0003994299,0.00009615117,0.00213737,0.00005102925,0.0001322208,0.00003528983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009170275,"about_ca_system_score_gemma":0.00002668795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001450186,"about_ca_topic_score_gemma":0.00000971529,"domain_scores_codex":[0.9991782,0.0000394067,0.0001840666,0.000260099,0.0001694933,0.0001687553],"domain_scores_gemma":[0.9996318,0.00001603,0.00009362897,0.0001768856,0.00006292009,0.00001879514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007647543,0.00003356054,0.00009144653,0.00003474906,0.00003599576,0.00001330037,0.3155319,0.00001973745,0.009134623,0.6737692,0.0009441175,0.0003148856],"study_design_scores_gemma":[0.00220601,0.001856076,0.0005110473,0.0001357456,0.00002358736,0.0001942102,0.4507984,0.03744954,0.4787833,0.02169423,0.005152531,0.001195357],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3003837,0.000003534768,0.6891407,0.004555176,0.0001456768,0.0001175394,3.78797e-7,0.0003567706,0.00529651],"genre_scores_gemma":[0.9840008,0.000001395514,0.01430513,0.001608237,0.00003280316,0.00002455331,0.000002814795,0.000004662829,0.00001958073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6836171,"threshold_uncertainty_score":0.3410447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248432725562481,"score_gpt":0.281567681586534,"score_spread":0.1567244090302859,"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."}}