{"id":"W4226104835","doi":"10.2139/ssrn.4058019","title":"An Online Iot-Based Strawberry Health Monitoring System Using Adaptive Leaf Soft-Measurement Method Performed on Infrared Thermal Imaging Sensors","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Infrared; Internet of Things; Remote sensing; Thermal; Thermal infrared; Materials science; Computer science; Biomedical engineering; Environmental science; Embedded system; Engineering; Optics; Meteorology; Physics; Geography","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":[0.0001614739,0.0005340526,0.0006074677,0.0004418769,0.0004396155,0.0003946087,0.0006981059,0.0004457069,0.002753882],"category_scores_gemma":[0.00016994,0.0002121008,0.0002511183,0.0003215153,0.0001043609,0.0005831189,0.00035973,0.0002166008,0.0007045621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001759578,"about_ca_system_score_gemma":0.0002807228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007281146,"about_ca_topic_score_gemma":0.001879621,"domain_scores_codex":[0.9997544,0.00001836988,0.00001242933,0.00009308448,0.00009902112,0.00002273259],"domain_scores_gemma":[0.9998259,0.00002640466,0.00002680544,0.00002482012,0.00007336846,0.00002265204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007742022,0.0004552293,0.0248644,0.0004425517,0.00009784027,0.0007798368,0.0003116408,0.002464279,0.7265002,0.0007349742,0.006953971,0.2356209],"study_design_scores_gemma":[0.0002895669,0.002196573,0.1821272,0.0001131817,0.000495436,0.002799423,0.0005240837,0.3412932,0.4335732,0.00172658,0.03460957,0.0002519093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6835042,0.0009459876,0.2912969,0.0003622739,0.0007058645,0.0003549523,0.001084836,0.007885599,0.01385941],"genre_scores_gemma":[0.955717,0.0001778385,0.03567939,0.000327558,0.0001220773,0.0001485325,0.0004001695,0.00006652384,0.00736084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002753882,"threshold_uncertainty_score":0.009212673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0445343748392581,"score_gpt":0.2733435015742353,"score_spread":0.2288091267349772,"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."}}