{"id":"W7099530534","doi":"","title":"TACTILE GEIGER COUNTER FOR UBIQUITOUS COMPUTING","year":2008,"lang":"en","type":"article","venue":"","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"nobody; Brewster; Mobile device; Bluetooth; Ubiquitous computing; Invisibility; Desk","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362892,0.001003326,0.000569985,0.001289041,0.001068952,0.00323081,0.001741219,0.002555151,0.1626096],"category_scores_gemma":[0.004106305,0.000370598,0.0004035939,0.001124034,0.0008143053,0.00366986,0.004027314,0.002111892,0.0764836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006757382,"about_ca_system_score_gemma":0.000636264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005178096,"about_ca_topic_score_gemma":0.0007279086,"domain_scores_codex":[0.9983348,0.0003016798,0.00009630988,0.0002966392,0.0007826955,0.0001879062],"domain_scores_gemma":[0.9980189,0.0005247438,0.0001016465,0.0005592788,0.0005614514,0.0002341166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003195367,0.00007733386,0.0007265977,0.0004739583,0.00001922954,0.0004759426,0.0004509419,0.0005118117,0.01640761,0.08548242,0.2267105,0.6683441],"study_design_scores_gemma":[0.00003363765,0.0001476964,0.0005334038,0.0002175787,0.00001889588,0.0008084385,0.0002007607,0.004289727,0.005686107,0.01304122,0.9749748,0.00004780787],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006517403,0.01455677,0.4129039,0.01414223,0.007971928,0.0008791348,0.001567064,0.02754582,0.5139158],"genre_scores_gemma":[0.1161121,0.008246182,0.1430843,0.006312159,0.002433025,0.001065533,0.001719491,0.00161317,0.719414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1626096,"threshold_uncertainty_score":0.5439835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04678619489227548,"score_gpt":0.2330887241246568,"score_spread":0.1863025292323813,"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."}}