{"id":"W1970740113","doi":"10.1007/bf02762403","title":"A Soil Temperature Control System for Ecological Research in Greenhouses","year":2000,"lang":"en","type":"article","venue":"Journal of Forest Research","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Greenhouse; Environmental science; Irrigation; Soil water; Water content; Fertilizer; Soil science; Horticulture; Agronomy; Geotechnical engineering","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":[0.00185905,0.001245801,0.001109485,0.0007653699,0.0006399082,0.0005889345,0.001876911,0.0006614403,0.004543501],"category_scores_gemma":[0.001375529,0.0007423275,0.0009037908,0.0004247457,0.0004422672,0.0008091361,0.0007875211,0.000918184,0.001671368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007067294,"about_ca_system_score_gemma":0.0007673132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547319,"about_ca_topic_score_gemma":0.001315834,"domain_scores_codex":[0.9984907,0.0002420735,0.0001235337,0.0006345796,0.0003671037,0.0001419727],"domain_scores_gemma":[0.9982521,0.0004077487,0.0001575367,0.0005024133,0.0004400598,0.0002401094],"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":[0.0005563155,0.0003375363,0.002255242,0.000340518,0.00004495586,0.00009049154,0.0001160716,0.002674847,0.9702219,0.0003403125,0.0008921789,0.02212967],"study_design_scores_gemma":[0.0006482161,0.004588754,0.01994913,0.00008502203,0.0004537746,0.0005361682,0.00006290602,0.04905171,0.8939598,0.0005631837,0.0298894,0.0002118315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3229828,0.000806401,0.6404238,0.0001785359,0.0005673326,0.004407717,0.003115448,0.02389778,0.003620099],"genre_scores_gemma":[0.3745761,0.0004533389,0.6057249,0.0003046445,0.0001738848,0.009028554,0.00236696,0.001367757,0.006003794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004543501,"threshold_uncertainty_score":0.01519954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06922315333011246,"score_gpt":0.3369891250960824,"score_spread":0.2677659717659699,"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."}}