{"id":"W2891929759","doi":"10.1007/s00484-018-1602-7","title":"Short communication: thermal regimes in hollow stems of herbaceous plants—concepts and models","year":2018,"lang":"en","type":"article","venue":"International Journal of Biometeorology","topic":"Leaf Properties and Growth Measurement","field":"Agricultural and Biological Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Herbaceous plant; Emissivity; Evapotranspiration; Greenhouse; Atmospheric sciences; Atmosphere (unit); Environmental science; Thermal conductivity; Thermal; Volume (thermodynamics); Absorption (acoustics); Materials science; Botany; Optics; Thermodynamics; Physics; Composite material; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003277649,0.0003815192,0.0005117145,0.0002632757,0.0004157767,0.0008970547,0.001044126,0.0009644019,0.004311756],"category_scores_gemma":[0.0008587312,0.0002262788,0.0006837131,0.0003144655,0.0007701732,0.00136502,0.0006584128,0.0006563437,0.0007536673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005846878,"about_ca_system_score_gemma":0.0003790509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002300699,"about_ca_topic_score_gemma":0.002022932,"domain_scores_codex":[0.9999224,0.00001226773,0.000003724111,0.00003395231,0.00001583153,0.00001182622],"domain_scores_gemma":[0.9996105,0.0001999635,0.00006961932,0.0000276537,0.00003431311,0.00005796644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000156795,0.0002248245,0.008347267,0.0004497457,0.0000698849,0.0003494752,0.000401688,0.7769046,0.04737426,0.1158432,0.007765986,0.04211219],"study_design_scores_gemma":[0.000008297637,0.00003235491,0.003221803,0.00001542859,0.00001462478,0.000102226,0.00004564305,0.9576074,0.002134153,0.03504374,0.00174654,0.00002785159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4134348,0.004059117,0.5512058,0.001503915,0.0005063208,0.0001202241,0.0009145441,0.0006895034,0.02756587],"genre_scores_gemma":[0.9771377,0.001132627,0.01218072,0.0001222929,0.0001948013,0.0000780504,0.0002922607,0.00009949209,0.008762028],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004311756,"threshold_uncertainty_score":0.01442432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04139157127046313,"score_gpt":0.2729180403494311,"score_spread":0.231526469078968,"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."}}