{"id":"W2078313061","doi":"10.1145/2505403.2505411","title":"SWE 2012 workshop report","year":2013,"lang":"en","type":"article","venue":"SIGSPATIAL Special","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Sensor web; World Wide Web; Computer science; Web site; Web application; State (computer science); Data science; The Internet; Telecommunications; Key distribution in wireless sensor networks; Wireless","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001862791,0.0002148111,0.000230341,0.0001040324,0.0001772932,0.0003296327,0.0009801183,0.000159649,0.0019264],"category_scores_gemma":[0.00011024,0.0002025739,0.0001162893,0.0004918153,0.0000768527,0.0007574632,0.0003702626,0.0002591292,0.001548758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006996301,"about_ca_system_score_gemma":0.00006791484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002413442,"about_ca_topic_score_gemma":0.0002368381,"domain_scores_codex":[0.9978184,0.00007621169,0.0004094603,0.0005694443,0.0005509934,0.0005755572],"domain_scores_gemma":[0.9984391,0.0001407027,0.0001777541,0.0008730981,0.0001496496,0.0002197167],"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":[0.00001695691,0.0003388109,0.001484215,0.000008440586,0.00005317992,0.0007436647,0.000771843,0.02521207,0.0009620315,0.09738499,0.5120809,0.3609429],"study_design_scores_gemma":[0.001510061,0.0002088666,0.0233157,0.00009222201,0.00002518535,0.0004212682,0.00006689456,0.1764001,0.003509062,0.007575338,0.784825,0.002050315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05524882,0.0001448572,0.7705797,0.005310061,0.01253061,0.0006284206,0.000001963379,0.0008283962,0.1547272],"genre_scores_gemma":[0.9233657,0.00001866404,0.03679036,0.0008773514,0.02611141,0.00007821463,0.00002668821,0.00005041376,0.01268117],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8681169,"threshold_uncertainty_score":0.9992287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009933006286088968,"score_gpt":0.2194236731371222,"score_spread":0.2094906668510332,"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."}}