{"id":"W6982534899","doi":"","title":"Insect Resistant Cotton COT67B","year":2014,"lang":"en","type":"other","venue":"Contact-less Assessment of In-vivo Body Signals Using Microwave Doppler Radar (InTech)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food supply; Insecticide resistance; Food safety; Agriculture; Risk assessment","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001641406,0.0008950678,0.002695434,0.001669239,0.0001575217,0.0002405526,0.0009886024,0.0005973669,0.01848026],"category_scores_gemma":[0.0000757599,0.001039106,0.0005471809,0.0004514093,0.0003772913,0.0001927872,0.0004426811,0.0005755121,0.0006560265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008874375,"about_ca_system_score_gemma":0.0002715051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003880136,"about_ca_topic_score_gemma":0.0008482716,"domain_scores_codex":[0.9950584,0.0001012397,0.002120545,0.001586404,0.000205327,0.0009280839],"domain_scores_gemma":[0.9957125,0.0001638727,0.002689813,0.0011479,0.0001050735,0.0001807985],"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":[0.0001054652,0.000540403,0.004163112,0.0007919159,0.001110094,0.00005303482,0.0003599945,0.00002287454,0.09256545,0.03191317,0.8682443,0.0001302181],"study_design_scores_gemma":[0.003413016,0.0002964124,0.0006634947,0.002459929,0.0001639586,0.00001751686,0.001039593,0.0009174324,0.01726841,0.00149826,0.9700027,0.002259335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009562653,0.004905563,0.01189733,0.00009429398,0.004093979,0.001271163,0.004237527,0.0001625247,0.963775],"genre_scores_gemma":[0.5233871,0.001104864,0.005062947,0.0003091651,0.0004489305,0.00005865074,0.0001667345,0.0007754406,0.4686862],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5138245,"threshold_uncertainty_score":0.9992059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0493491163929115,"score_gpt":0.2600109354763261,"score_spread":0.2106618190834146,"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."}}