{"id":"W4415382863","doi":"10.56367/oag-048-11711","title":"Clones for viticulture in Canada: National clonal selection program","year":2025,"lang":"en","type":"article","venue":"Open Access Government","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Vine; Viticulture; Clonal selection; Cutting; Selection (genetic algorithm); Vitis vinifera","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001997693,0.0001292569,0.0001648081,0.000004785068,0.0002310846,0.0006427692,0.0008187528,0.00005053667,0.0003198605],"category_scores_gemma":[0.0001383721,0.00004540012,0.0000465439,0.000478266,0.00001767234,0.0005456528,0.0004245166,0.0001144184,0.000003350808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001458221,"about_ca_system_score_gemma":0.0002513373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4458851,"about_ca_topic_score_gemma":0.9641075,"domain_scores_codex":[0.9984131,0.0000416296,0.0002354775,0.0003166066,0.000663803,0.0003294115],"domain_scores_gemma":[0.999513,0.0001545169,0.00005828961,0.00002360507,0.0001747582,0.00007582691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005767386,0.0009236385,0.1615146,0.00009361123,0.0001138789,0.000008630263,0.00004358706,0.000155011,0.1022083,0.01196981,0.1941811,0.5282111],"study_design_scores_gemma":[0.0003485126,0.00010234,0.7455555,0.0000504474,0.000007131834,0.00000159274,0.0003822642,0.0004808354,0.01050687,0.0005225324,0.2418656,0.0001763695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756513,0.00003995228,0.000001883806,0.01383732,0.0001693284,0.001901212,0.0001922138,0.00001833248,0.008188446],"genre_scores_gemma":[0.9936422,0.0000237945,0.0001243768,0.0008100999,0.0001087808,0.0009947366,0.0001062238,6.004811e-7,0.004189243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5840409,"threshold_uncertainty_score":0.6198238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06164193903692413,"score_gpt":0.3901826091634398,"score_spread":0.3285406701265157,"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."}}