{"id":"W2984802348","doi":"10.1080/07373937.2019.1686476","title":"Importance of drying in support of human welfare","year":2019,"lang":"en","type":"article","venue":"Drying Technology","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Welfare; Human welfare; Business; Materials science; Economics; Market economy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004540748,0.0004038165,0.0003840432,0.0005349674,0.002493479,0.003736675,0.0008969291,0.003544881,0.01867473],"category_scores_gemma":[0.01034388,0.0001182602,0.0004118304,0.0004007363,0.003065519,0.001891941,0.002657705,0.004097193,0.003871812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594283,"about_ca_system_score_gemma":0.006315307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003253102,"about_ca_topic_score_gemma":0.005074264,"domain_scores_codex":[0.9971917,0.001507402,0.0001212711,0.0001704479,0.0006737745,0.0003354006],"domain_scores_gemma":[0.9914382,0.003007888,0.0006724485,0.0004465636,0.002624269,0.001810667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001722786,0.0003629889,0.005549556,0.001940233,0.00008352288,0.0008695727,0.002043477,0.0003712852,0.004896426,0.07392647,0.3335649,0.5762193],"study_design_scores_gemma":[0.00001863423,0.0001875861,0.007299994,0.002237529,0.00002842439,0.0009801621,0.00324059,0.0001509033,0.001156895,0.03063647,0.9540252,0.00003762823],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01204949,0.07245084,0.006659837,0.7625249,0.01518365,0.00009445891,0.0002076479,0.0002936962,0.1305354],"genre_scores_gemma":[0.4103216,0.23399,0.02669938,0.2278627,0.0200458,0.0003321121,0.000397665,0.0004422097,0.07990864],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01867473,"threshold_uncertainty_score":0.06247318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00457147553456697,"score_gpt":0.226003212016136,"score_spread":0.221431736481569,"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."}}