{"id":"W4404384751","doi":"10.21275/sr22804162634","title":"Analysis and Prediction of the Quality of Biocontrol using Machine Learning Classifications","year":2022,"lang":"en","type":"article","venue":"International Journal of Science and Research (IJSR)","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quality (philosophy); Machine learning; Artificial intelligence; Computer science; Philosophy; Epistemology","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":[],"consensus_categories":[],"category_scores_codex":[0.007621682,0.00003455448,0.0001131604,0.0001603585,0.000512916,0.00004317164,0.0005443884,0.0000150729,0.00006777018],"category_scores_gemma":[0.001141684,0.00001302112,0.00007123594,0.001431785,0.001206735,0.0001834386,0.0002783834,0.0002856073,3.920734e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008174258,"about_ca_system_score_gemma":0.00009113578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007719981,"about_ca_topic_score_gemma":0.00008416938,"domain_scores_codex":[0.9972796,0.0003979923,0.0003406979,0.000121401,0.001755617,0.0001047206],"domain_scores_gemma":[0.9979886,0.0003595509,0.0002870458,0.00004042674,0.001270019,0.00005431057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003744703,0.00006221399,0.3977959,0.000001870676,0.00003975755,2.889817e-7,0.0001887346,0.000258438,0.5979736,0.000155307,0.000002369187,0.003484007],"study_design_scores_gemma":[0.0001262298,0.0001677055,0.9800351,0.00000715301,0.00001586762,0.00001279506,0.002151633,0.009553886,0.00719602,0.0004559565,0.0002544913,0.00002311313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959711,0.0001512478,0.00001698156,0.003593245,0.00008145534,0.00006719038,0.00008018051,0.000001346366,0.00003725422],"genre_scores_gemma":[0.9998218,0.00004515048,0.00005758888,0.00001193812,0.00003775202,0.000001527324,0.000001535393,2.368627e-7,0.00002250125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5907776,"threshold_uncertainty_score":0.4446266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1266265572040918,"score_gpt":0.389828942674543,"score_spread":0.2632023854704513,"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."}}