{"id":"W1594565734","doi":"10.1109/ccst.2003.1297529","title":"IntelliFIBER Fiber Optic Fence Sensor Developments","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Fiber Optic Sensors","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Senstar (Canada)","funders":"","keywords":"Fence (mathematics); Computer science; Power cable; Test data; Field (mathematics); Perimeter; Electrical engineering; False alarm; Engineering; Electronic engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001255709,0.0009038351,0.0004904435,0.001474472,0.0003121905,0.0008337434,0.00160491,0.001113961,0.004930058],"category_scores_gemma":[0.001216311,0.0004865853,0.0003958836,0.0008362022,0.0003305117,0.003073402,0.0007931159,0.001290031,0.001667266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009319715,"about_ca_system_score_gemma":0.0005443671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009448679,"about_ca_topic_score_gemma":0.001725275,"domain_scores_codex":[0.998073,0.00007249379,0.00006543948,0.0003308965,0.001347576,0.0001106402],"domain_scores_gemma":[0.9985506,0.0001277114,0.000252413,0.0001276481,0.0008313638,0.000110294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003512314,0.0002401409,0.004151214,0.0006556709,0.00003783583,0.0004255609,0.0003920834,0.002653301,0.6229715,0.007849846,0.01746604,0.3428057],"study_design_scores_gemma":[0.00006476538,0.003007649,0.01420537,0.0002158193,0.00007233835,0.003125303,0.0001707823,0.02173953,0.5854465,0.001226177,0.3705141,0.0002116246],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3563656,0.01408391,0.4260884,0.002726357,0.0019687,0.0008551156,0.003671411,0.007336851,0.1869038],"genre_scores_gemma":[0.4372042,0.008128425,0.4377791,0.001298877,0.0004587371,0.0004638747,0.004184107,0.000588358,0.1098943],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004930058,"threshold_uncertainty_score":0.01649266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239322770411153,"score_gpt":0.2211813525816635,"score_spread":0.2087881248775519,"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."}}