{"id":"W7008548080","doi":"","title":"Characteristics of Farm Direct Marketing in the Lower Mainland Region in British Columbia Canada","year":2016,"lang":"en","type":"other","venue":"Terrestrial Environment Research Center (University of Tsukuba)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Direct marketing; Mainland; Government (linguistics); Direct Payments; Mainland China","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":[0.0002733008,0.000228022,0.0002876793,0.002109935,0.002433483,0.001982207,0.001071788,0.0003468908,0.007578912],"category_scores_gemma":[0.001710059,0.0002552129,0.0002261373,0.005665969,0.0007406655,0.000419903,0.0006655295,0.0005136051,0.0007989226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02120602,"about_ca_system_score_gemma":0.01945247,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942561,"about_ca_topic_score_gemma":0.9984303,"domain_scores_codex":[0.9994453,0.00004041883,0.00002694196,0.00008468682,0.0001717084,0.000231034],"domain_scores_gemma":[0.9974132,0.0002139168,0.0003474609,0.00005893897,0.001212008,0.0007545145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008445224,0.00007432875,0.9768524,0.00004513928,0.00003287823,0.0002960189,0.003811565,0.0001524304,0.0007446075,0.0002991355,0.005267334,0.01233965],"study_design_scores_gemma":[0.000001321081,0.00000662658,0.9938531,0.00001685736,0.000004565048,0.00002765642,0.004373499,0.0001000723,0.00004864168,0.00001218314,0.001550717,0.000004845451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9879048,0.0003264097,0.00003967608,0.0002308544,0.000005415818,0.00003609711,0.003577686,0.00001142769,0.007867644],"genre_scores_gemma":[0.9851906,0.0003627679,0.000097196,0.00008153771,0.000002832788,0.00002148412,0.001571184,0.00001221851,0.01266024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02120602,"threshold_uncertainty_score":0.1538612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129706613105339,"score_gpt":0.2257793980838536,"score_spread":0.2044823319528002,"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."}}