{"id":"W7099127811","doi":"","title":"Deployment of Deer-Resistant Western Redcedar","year":2015,"lang":"en","type":"article","venue":"","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Selection (genetic algorithm); Monoterpene; Habitat; Stock (firearms); Selective breeding","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":[0.0002491691,0.0002663577,0.0001482001,0.0002048805,0.0003995491,0.0002527363,0.0006600627,0.0002158578,0.002347779],"category_scores_gemma":[0.0002281233,0.0001247732,0.0001635133,0.00009065609,0.0001610509,0.0001594229,0.0003074044,0.0002562883,0.000605181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004600245,"about_ca_system_score_gemma":0.00049429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008862312,"about_ca_topic_score_gemma":0.04323381,"domain_scores_codex":[0.9998519,0.00002009307,0.000007832999,0.00005541161,0.00003274811,0.00003189105],"domain_scores_gemma":[0.9997413,0.00002375875,0.00005718452,0.00004017582,0.000054639,0.00008297429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008643075,0.001384475,0.03227917,0.0001155118,0.00005939564,0.0003714523,0.00047173,0.0004939317,0.9085373,0.0003605269,0.001127014,0.05393526],"study_design_scores_gemma":[0.0003344625,0.01824128,0.4987954,0.0001058604,0.0002902645,0.001463668,0.002010261,0.003967688,0.427521,0.0002414545,0.04695673,0.00007184934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957495,0.00008280962,0.001231252,0.0000461673,0.00001223183,0.00008070393,0.0001069498,0.00009812273,0.002592262],"genre_scores_gemma":[0.9800708,0.000182662,0.007405846,0.0002742739,0.000006312998,0.0001131625,0.0006474156,0.00003691131,0.01126264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008862312,"threshold_uncertainty_score":0.01762146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02738515311784664,"score_gpt":0.219890866761442,"score_spread":0.1925057136435954,"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."}}