{"id":"W4235814357","doi":"10.1016/j.agrformet.2006.10.001","title":"Foreword","year":2006,"lang":"en","type":"article","venue":"Agricultural and Forest Meteorology","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science","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":[0.001248952,0.000797605,0.0007339225,0.001412592,0.002137393,0.003622069,0.001204165,0.004287689,0.2462667],"category_scores_gemma":[0.007081459,0.0002410256,0.0005924631,0.0007680349,0.000659115,0.002360289,0.002099232,0.005018435,0.2559361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001415695,"about_ca_system_score_gemma":0.002323454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003163785,"about_ca_topic_score_gemma":0.005853542,"domain_scores_codex":[0.9991494,0.0001027372,0.00005516942,0.0001329165,0.0004467992,0.000112967],"domain_scores_gemma":[0.9963257,0.0005511183,0.0001704679,0.0002409606,0.001961464,0.0007502883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008460736,0.00000535869,0.00002333285,0.00003174378,8.513845e-7,0.00001947243,0.000008530413,0.000004847272,0.00005633408,0.0010342,0.9846846,0.01412226],"study_design_scores_gemma":[0.000002912216,0.000005004035,0.000100661,0.00005104856,0.000001473706,0.00003217806,0.00001666261,0.000007690227,0.00004579556,0.0006732513,0.9990613,0.000002072706],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003636362,0.01312059,0.001094783,0.1706638,0.5186887,0.000193095,0.001155985,0.0004616514,0.2942578],"genre_scores_gemma":[0.001672192,0.003611688,0.0004273845,0.06572508,0.06742709,0.0001120591,0.0006454775,0.0002345113,0.8601446],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2462667,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006257278552892212,"score_gpt":0.1961504169327667,"score_spread":0.1898931383798745,"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."}}