{"id":"W4317857265","doi":"10.2196/preprints.45901","title":"Dal Mill Machine Plant | Best Food Processing Machinery Manufacturer In India (Preprint)","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Mill; Engineering; Manufacturing engineering; Agricultural engineering; Computer science; Mechanical engineering; World Wide Web","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":[0.0005089819,0.0004714366,0.0005210168,0.00004430634,0.0001684425,0.0004044993,0.0007279243,0.000506569,0.0008487138],"category_scores_gemma":[0.00005482567,0.0001583352,0.0001893577,0.0001955389,0.00003979852,0.0002361758,0.001219859,0.001147939,0.0002842023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008539138,"about_ca_system_score_gemma":0.00002711865,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005270253,"about_ca_topic_score_gemma":0.01981848,"domain_scores_codex":[0.9976199,0.0001072911,0.0006023453,0.0009719566,0.0002154274,0.0004830385],"domain_scores_gemma":[0.9989631,0.0003044197,0.0004145814,0.000128376,0.00003730432,0.0001521839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007345526,0.001989436,0.3261695,0.001076468,0.0007016023,0.0004539892,0.002282363,0.008196663,0.01737482,0.002121313,0.01606984,0.6228294],"study_design_scores_gemma":[0.0003085405,0.0003148739,0.9535366,0.000322435,0.00004556524,0.00004410565,0.0008231607,0.002382735,0.001174379,0.008155996,0.03145104,0.001440573],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865798,0.0006224776,0.000003302757,0.003395312,0.0004985918,0.0006158558,0.0007614376,0.0001939103,0.007329314],"genre_scores_gemma":[0.9952781,0.0005774124,0.0001890551,0.0004228345,0.0004920803,0.00008455268,0.001696529,0.000004208219,0.001255271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6273671,"threshold_uncertainty_score":0.9980673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04175543633672629,"score_gpt":0.2401749691697681,"score_spread":0.1984195328330418,"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."}}