{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007239857,0.0001070085,0.0001235063,0.000006040833,0.0003226944,0.00003104773,0.0001725022,0.00005955678,0.0005798524],"category_scores_gemma":[0.00002484012,0.00003557848,0.00009178359,0.0001141973,0.00006446296,0.00008780841,0.00005338582,0.00005789557,0.00006780958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002797393,"about_ca_system_score_gemma":0.000005468506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001623416,"about_ca_topic_score_gemma":0.00009244199,"domain_scores_codex":[0.9992341,0.00001809469,0.0001247935,0.0002358396,0.0001236498,0.000263567],"domain_scores_gemma":[0.9994696,0.0002809116,0.00004595412,0.00003686707,0.0001030641,0.00006364795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000871603,0.0001916649,0.01864054,0.000005692059,0.00003725911,0.0000111654,0.0002007225,0.000004094632,0.8825303,0.0003784641,0.04574509,0.05216782],"study_design_scores_gemma":[0.0004913821,0.0006669351,0.372604,0.00001226401,0.00001286931,0.000116358,0.0007290915,0.001298761,0.07016176,0.0003854059,0.552945,0.0005760794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870813,0.0000310007,0.0002198895,0.0007228674,0.0002110047,0.0002113482,0.00001481845,0.0001337116,0.011374],"genre_scores_gemma":[0.9955906,0.000005567022,0.0006871884,0.001102219,0.0005294158,0.000009148413,0.00002883411,8.761209e-7,0.002046178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8123686,"threshold_uncertainty_score":0.6348977,"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."}}