{"id":"W3029181321","doi":"10.1145/3313831.3376134","title":"Phasking on Paper: Accessing a Continuum of PHysically Assisted SKetchING","year":2020,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ruler; Computer science; Constraint (computer-aided design); Control (management); Parametric statistics; Scheme (mathematics); Human–computer interaction; Engineering; Artificial intelligence; Mathematics; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005724531,0.00009638852,0.0001664286,0.00003168332,0.00006424179,0.00010056,0.0004955909,0.00002127452,0.00004886433],"category_scores_gemma":[0.00007082144,0.00007916528,0.00009588369,0.0002096139,0.00001802144,0.0007824301,0.0001495758,0.0001230504,0.00004190765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001276406,"about_ca_system_score_gemma":0.0000251182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000114581,"about_ca_topic_score_gemma":0.000001556823,"domain_scores_codex":[0.999203,0.00004535665,0.0001659191,0.0002539222,0.0001761127,0.0001556778],"domain_scores_gemma":[0.9994527,0.0001219133,0.0001098221,0.0001683207,0.0000897662,0.00005750093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002439876,0.00007826507,0.000156524,0.00001165128,0.00002942316,0.000009083508,0.001632942,0.000008072462,0.9613106,0.01764828,0.001109065,0.01798174],"study_design_scores_gemma":[0.0008169651,0.0004082168,0.02533374,0.0001472148,0.0000140366,0.000003775001,0.0003602737,0.02895252,0.9407196,0.000492018,0.002449925,0.0003016864],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1778406,0.00001367041,0.7101659,0.004520813,0.0002262449,0.0001038411,0.000001418655,0.00005120861,0.1070762],"genre_scores_gemma":[0.9900879,6.631979e-7,0.003692101,0.00606755,0.00007362766,0.000001642746,9.803563e-7,0.000005510724,0.00006999139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8122473,"threshold_uncertainty_score":0.3228266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158332911207487,"score_gpt":0.2847049623374409,"score_spread":0.2531216332253661,"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."}}