{"id":"W598731569","doi":"","title":"Landscaping management within highway corridors: Quebec's approach","year":2006,"lang":"en","type":"article","venue":"Routes/Roads","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Landscaping; Woodland; Vegetation (pathology); Geography; Visibility; Trimming; Forestry; Transport engineering; Ecology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002329068,0.0001745367,0.0002088885,0.00001234496,0.0003298989,0.00006465142,0.0002197669,0.0001105149,0.0001322564],"category_scores_gemma":[0.000006198507,0.00006731194,0.00007608585,0.000219714,0.00005619282,0.00009544598,0.000099586,0.0001212935,0.0001052939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003151201,"about_ca_system_score_gemma":0.000003294496,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003119651,"about_ca_topic_score_gemma":0.01918774,"domain_scores_codex":[0.998893,0.00005907218,0.000225817,0.000334888,0.0001497203,0.0003375055],"domain_scores_gemma":[0.9996819,0.00009612772,0.00008757332,0.00006365358,0.00002415163,0.00004658999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003651053,0.001486255,0.5686677,0.000137313,0.0005478028,0.0002723638,0.0008321145,0.001313455,0.01309839,0.06246222,0.284028,0.06678929],"study_design_scores_gemma":[0.0004180888,0.0001588878,0.8895381,0.00003835243,0.00006476262,0.00002749558,0.0009525172,0.0008668887,0.0003859791,0.001486702,0.1055308,0.000531407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449806,0.0005379187,0.00003240755,0.00091741,0.0003845754,0.0002470022,0.00003864541,0.0002194556,0.05264194],"genre_scores_gemma":[0.9884337,0.00003642494,0.0004727071,0.0003353409,0.0004294377,0.00003469296,0.0001771615,0.000001172235,0.01007942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3208704,"threshold_uncertainty_score":0.9987095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050293429658521,"score_gpt":0.1755190288218714,"score_spread":0.1650160945252861,"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."}}