{"id":"W2733189651","doi":"","title":"Hoary Cresses in Canada with Particular Reference to their Distribution and Control in Alberta1","year":2016,"lang":"en","type":"article","venue":"Scientific Agriculture","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Control (management); Mathematics; Computer science; Mathematical analysis; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003845013,0.0004730129,0.0002453358,0.00292308,0.005167628,0.001242548,0.001736946,0.0006311021,0.003777245],"category_scores_gemma":[0.0006582415,0.0002447482,0.0002974512,0.005079514,0.00170472,0.0003001953,0.001016887,0.000751219,0.0003054083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02461399,"about_ca_system_score_gemma":0.03851023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950464,"about_ca_topic_score_gemma":0.9993343,"domain_scores_codex":[0.9989767,0.00005227854,0.00002255293,0.00006841256,0.0003000114,0.0005801644],"domain_scores_gemma":[0.9990189,0.00005525288,0.0002109572,0.00002294557,0.0003686987,0.0003232557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000357859,0.0002048201,0.7142066,0.0007523964,0.0001133436,0.0063382,0.01409025,0.001231667,0.004193218,0.01058965,0.03863654,0.2092855],"study_design_scores_gemma":[0.00001226801,0.00004750103,0.9352675,0.0002441484,0.00002969453,0.001042275,0.0127835,0.0004401268,0.0003417753,0.0003433682,0.04941555,0.00003222957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8702957,0.02922936,0.001785369,0.006284878,0.0004312031,0.0003327977,0.004870455,0.000118634,0.08665162],"genre_scores_gemma":[0.9536956,0.01065974,0.002693371,0.001061417,0.00007077839,0.00003337126,0.001626057,0.00002213085,0.03013762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02461399,"threshold_uncertainty_score":0.1785879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003303033166640948,"score_gpt":0.1543475848127335,"score_spread":0.1510445516460926,"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."}}