{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002714829,0.0004559461,0.0001975281,0.000670663,0.0005125402,0.0003839307,0.0004174885,0.0002829317,0.04066875],"category_scores_gemma":[0.0001710707,0.0001395661,0.0002695794,0.0003583565,0.0002180124,0.0001394939,0.0002892943,0.0007640761,0.008571053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008095919,"about_ca_system_score_gemma":0.000750167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02385165,"about_ca_topic_score_gemma":0.08072411,"domain_scores_codex":[0.9996972,0.00002122146,0.000009052062,0.00004332804,0.0001734608,0.00005575412],"domain_scores_gemma":[0.9997633,0.00002635355,0.00004174586,0.00003162662,0.00007706438,0.00005993875],"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":[0.0006510968,0.0004719826,0.006133794,0.0004306201,0.00004972293,0.001225519,0.0001619013,0.0001507154,0.7963591,0.005657658,0.06447781,0.12423],"study_design_scores_gemma":[0.0001820421,0.002491525,0.08123358,0.0002247923,0.00008368062,0.004474187,0.0003727783,0.001413308,0.199907,0.0006342123,0.7089,0.00008294196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5890712,0.003200094,0.009359383,0.002263082,0.0007328521,0.000884942,0.02114615,0.002221979,0.3711204],"genre_scores_gemma":[0.3369344,0.002072469,0.008115018,0.001151804,0.00003242107,0.0002312592,0.01673289,0.000394047,0.6343358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04066875,"threshold_uncertainty_score":0.1360505,"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."}}