{"id":"W2340833051","doi":"","title":"IMMIGRANT RETENTION & FOOD PROCESSING IN RURAL MANITOBA","year":2013,"lang":"en","type":"article","venue":"","topic":"Agricultural Systems and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Food processing; Geography; Food science; Archaeology; Chemistry","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":[0.0004056563,0.0002536816,0.000222425,0.001367059,0.004098834,0.001453843,0.0009907428,0.0004290986,0.003660212],"category_scores_gemma":[0.001264613,0.0003231788,0.0002073569,0.003856353,0.001256705,0.0005405572,0.001894852,0.0005709597,0.0003519796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006548434,"about_ca_system_score_gemma":0.01241087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8784652,"about_ca_topic_score_gemma":0.9657012,"domain_scores_codex":[0.9996557,0.00008704312,0.00001548314,0.00003278955,0.0000425678,0.0001663545],"domain_scores_gemma":[0.9992504,0.0001184975,0.0001736715,0.00002398763,0.0001771506,0.0002562928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001484013,0.0002454598,0.9436868,0.0001350184,0.00003493639,0.001474232,0.03379158,0.0001329831,0.002291618,0.0006886362,0.0007231468,0.01664717],"study_design_scores_gemma":[0.000008897268,0.0001025142,0.918107,0.00009692195,0.00002356518,0.0002810731,0.07804877,0.0001625774,0.000266415,0.00007945886,0.002809274,0.00001343446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983178,0.0001586547,0.00002170661,0.000178284,0.000003007525,0.00001213639,0.000107919,0.000002196426,0.00119827],"genre_scores_gemma":[0.9948762,0.0007634387,0.0002044363,0.0001757475,0.000005277434,0.00002655305,0.0001415645,0.000004046445,0.003802834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1215348,"threshold_uncertainty_score":0.2445011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02247494891941832,"score_gpt":0.198516174620703,"score_spread":0.1760412257012846,"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."}}