{"id":"W7153977831","doi":"10.1145/3772318.3809048","title":"10.1145/3772318.3809048","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Mobile device; Key (lock); Mobile interaction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001942618,0.004061813,0.002531233,0.002701008,0.002536267,0.004800037,0.003113873,0.006022831,0.9557146],"category_scores_gemma":[0.002773268,0.002002797,0.001323128,0.00784716,0.001607063,0.01027048,0.005978026,0.002709191,0.966896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002212953,"about_ca_system_score_gemma":0.0009594474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01766196,"about_ca_topic_score_gemma":0.0137304,"domain_scores_codex":[0.9992703,0.00004964624,0.00005939855,0.00021937,0.0002312144,0.0001700962],"domain_scores_gemma":[0.9984865,0.0003468997,0.00006474308,0.0004631021,0.000345544,0.0002931956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003566257,0.0002065381,0.0004497459,0.0007759964,0.0000498019,0.0002571479,0.000115026,0.0006345998,0.001971286,0.006003058,0.6506044,0.3385758],"study_design_scores_gemma":[0.00004903255,0.00004000085,0.0008183303,0.0003071908,0.000054142,0.0001732755,0.00009383787,0.0008182878,0.0006212819,0.001284317,0.9956968,0.0000435826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002151742,0.005457963,0.01245724,0.0009627516,0.001983489,0.0005288813,0.01045201,0.01706777,0.9489382],"genre_scores_gemma":[0.003086351,0.002103218,0.001814919,0.0006066166,0.0001292379,0.0002155861,0.004687539,0.001700964,0.9856555],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04428542,"threshold_uncertainty_score":0.06316769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004800918551788371,"score_gpt":0.1855085778488519,"score_spread":0.1807076592970635,"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."}}