{"id":"W2103148586","doi":"10.1109/ccece.1999.807936","title":"Harmonic radar identification tag for insect tracking","year":2003,"lang":"en","type":"article","venue":"","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; University of New Brunswick","funders":"","keywords":"Antenna (radio); Radar; Transmitter; Tracking (education); Harmonic; Electronic engineering; Acoustics; Computer science; Electrical impedance; Radio-frequency identification; Physics; Electrical engineering; Engineering; Telecommunications; Channel (broadcasting)","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":[0.0001633845,0.000177808,0.0001894996,0.00009107139,0.0001306909,0.0003148189,0.0003900894,0.000389916,0.004049831],"category_scores_gemma":[0.0002505149,0.00009124986,0.0001295062,0.0001171734,0.0000913188,0.0003499789,0.0001530617,0.0002136051,0.002220006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000292802,"about_ca_system_score_gemma":0.0001451241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002728702,"about_ca_topic_score_gemma":0.0004044799,"domain_scores_codex":[0.9999194,0.00001904296,0.00000197079,0.00001225304,0.0000375701,0.000009700143],"domain_scores_gemma":[0.9998982,0.00003793534,0.00001179965,0.00001719174,0.00003026657,0.000004604608],"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":[0.0004190147,0.00009140201,0.002807539,0.000419992,0.00005074472,0.0002317441,0.0001284933,0.06517627,0.6544275,0.02127463,0.006643909,0.2483288],"study_design_scores_gemma":[0.00009665764,0.001353582,0.0033228,0.0000370887,0.0001178945,0.001169375,0.00007087497,0.5915494,0.314717,0.005050487,0.0824682,0.0000467318],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1242576,0.0005963292,0.8489441,0.000217191,0.0001209602,0.0001013903,0.0001187116,0.001546182,0.02409746],"genre_scores_gemma":[0.6954668,0.000379383,0.264335,0.0002047905,0.00003486114,0.00007868983,0.0003062989,0.0001237247,0.03907052],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004049831,"threshold_uncertainty_score":0.01354808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083580197140616,"score_gpt":0.2893333466256789,"score_spread":0.1809753269116173,"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."}}