{"id":"W4406034479","doi":"10.23880/oajar-16000378","title":"Morpho-Physiological and Biochemical Responses of Tomato, Lettuce, Mexican Mint, and Industrial Hemp to Different Temperature Regimes","year":2024,"lang":"en","type":"article","venue":"Open Access Journal of Agricultural Research","topic":"Postharvest Quality and Shelf Life Management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Morpho; Horticulture; Biology; Botany; Environmental science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0000817846,0.0002868902,0.0001709818,0.0001519259,0.0001878778,0.0002299062,0.0001228593,0.0002040718,0.000673138],"category_scores_gemma":[0.00009450874,0.0001450693,0.0002545126,0.00009983945,0.0001935753,0.0001876447,0.0001857091,0.0003962268,0.000124194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002491845,"about_ca_system_score_gemma":0.0001327634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001971568,"about_ca_topic_score_gemma":0.002579052,"domain_scores_codex":[0.9999388,0.000006141106,0.000004579369,0.00002424777,0.00001121838,0.00001504618],"domain_scores_gemma":[0.9999028,0.000008643897,0.00002945346,0.000008162722,0.000017361,0.00003350385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009232141,0.000009795034,0.001671919,0.0000172333,0.000004814744,0.00004319246,0.00003643467,0.00002565669,0.9977568,0.000009015574,0.000009575909,0.0003233804],"study_design_scores_gemma":[0.00001647117,0.0007987141,0.6776967,0.00001133013,0.00003688299,0.0004169587,0.0004499779,0.0008063168,0.3184942,0.00006669226,0.00118151,0.00002419113],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999091,0.0001773255,0.0002362451,0.00001576111,0.000004546248,0.000007256519,0.0001817798,0.00001154668,0.0002745838],"genre_scores_gemma":[0.9979225,0.0001168248,0.0004017063,0.00004748476,0.000002570708,0.00002713362,0.000460833,0.00001249373,0.001008383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001971568,"threshold_uncertainty_score":0.003920138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2721331581071707,"score_gpt":0.4451687706084261,"score_spread":0.1730356125012554,"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."}}