{"id":"W27007463","doi":"10.1080/16506073.2016.1157204","title":"Animal Tracking in Multi-Modal Wireless Sensor Networks","year":2012,"lang":"en","type":"article","venue":"Cognitive Behaviour Therapy","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; MAYDAY Fund","keywords":"Wireless sensor network; Tracking (education); Computer science; Wireless; Telecommunications; Computer network; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005855305,0.0003943929,0.0003695339,0.0002289588,0.0001800521,0.0001670828,0.0006634425,0.0002052237,0.0000287643],"category_scores_gemma":[0.00002558608,0.0003890719,0.0001524847,0.0007403529,0.0001280314,0.0008110759,0.0001593062,0.0006013336,0.00003699737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009841864,"about_ca_system_score_gemma":0.00003598077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005804953,"about_ca_topic_score_gemma":0.00003541825,"domain_scores_codex":[0.9970632,0.0003534349,0.0004163177,0.000633045,0.0003683151,0.001165671],"domain_scores_gemma":[0.9986381,0.0003365383,0.0001720963,0.0004003621,0.0001961387,0.0002567888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001834777,0.002118263,0.8390945,0.000004286435,0.00004597459,0.0001642592,0.002631236,0.00497875,0.004261699,0.001501954,0.00003695361,0.1449786],"study_design_scores_gemma":[0.003187037,0.0001835793,0.8215411,0.0001521015,0.00001324331,0.00005837582,0.0003018981,0.165279,0.008441809,0.00000527847,0.00006033377,0.0007762781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7237244,0.001103638,0.2738059,0.00005051923,0.000649988,0.0002958783,0.000003476783,0.0002135072,0.0001526609],"genre_scores_gemma":[0.9939052,0.0001863403,0.004967596,0.0004089551,0.0003067294,0.00006277249,0.00001351323,0.00005929521,0.00008962234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2701808,"threshold_uncertainty_score":0.9998561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0518551284356454,"score_gpt":0.3077388935851026,"score_spread":0.2558837651494573,"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."}}