{"id":"W3158510337","doi":"10.1016/j.indcrop.2021.113559","title":"Can heat stress and water deficit affect cotton fiber wax content in field-grown plants?","year":2021,"lang":"en","type":"article","venue":"Industrial Crops and Products","topic":"Plant Surface Properties and Treatments","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Cotton Research and Development Corporation; Commonwealth Scientific and Industrial Research Organisation; Cotton Breeding Australia; Deakin University; McMaster University","keywords":"Wax; Abiotic component; Abiotic stress; Horticulture; Cuticle (hair); Fiber; Botany; Epicuticular wax; Agronomy; Biology; Chemistry; Ecology; Biochemistry","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":[0.0001934582,0.0002988224,0.0004065545,0.0002099159,0.0003186548,0.0003973331,0.0002718219,0.0004281509,0.0008739704],"category_scores_gemma":[0.0002324008,0.0002540045,0.0003905532,0.0002314879,0.000240784,0.0006480739,0.0002355512,0.0006975796,0.0001674066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008556719,"about_ca_system_score_gemma":0.000234811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077673,"about_ca_topic_score_gemma":0.01342667,"domain_scores_codex":[0.9998839,0.00002201767,0.00000701643,0.00004298166,0.00001378877,0.00003028172],"domain_scores_gemma":[0.9997714,0.00006702839,0.0000510236,0.00002197639,0.00003236595,0.00005615701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0006026209,0.0001057646,0.01997669,0.00008909708,0.00005494134,0.0001153495,0.000289913,0.0002434725,0.9743925,0.00007536402,0.0001256962,0.003928552],"study_design_scores_gemma":[0.00001987912,0.0006488302,0.9320539,0.00001176786,0.00006507074,0.0001467906,0.00079493,0.001836965,0.06250575,0.000181673,0.001694279,0.00004011565],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982907,0.0004076814,0.0003716205,0.0001011309,0.00001229589,0.0000123799,0.0003242816,0.00002288015,0.0004569932],"genre_scores_gemma":[0.9982625,0.0002146622,0.0001927046,0.0001093051,0.000004581399,0.00002486132,0.0004840812,0.00001550089,0.0006919266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01077673,"threshold_uncertainty_score":0.02142799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06765765298346428,"score_gpt":0.2114944796546381,"score_spread":0.1438368266711739,"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."}}