{"id":"W2589927150","doi":"10.17660/actahortic.2012.926.66","title":"INTELLIGENT IRRIGATION OF LOWBUSH BLUEBERRIES IN ATLANTIC CANADA","year":2012,"lang":"en","type":"article","venue":"Acta Horticulturae","topic":"Berry genetics and cultivation research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Horticulture; Biology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0002177582,0.000148616,0.0002483302,0.0002184107,0.002492366,0.0007905331,0.0004238334,0.0002245853,0.001274255],"category_scores_gemma":[0.0003171938,0.000113873,0.0001139612,0.0004636127,0.0004645891,0.0002591899,0.0003980077,0.0003595561,0.0001125441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01581667,"about_ca_system_score_gemma":0.01674213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.980509,"about_ca_topic_score_gemma":0.9964284,"domain_scores_codex":[0.9998067,0.00001393626,0.000002822218,0.000039342,0.00005744659,0.00007972847],"domain_scores_gemma":[0.9996541,0.00002227305,0.00002473633,0.000008847464,0.0002053969,0.00008455681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001197224,0.0007304364,0.6495308,0.0002112911,0.00007427769,0.002239052,0.01069567,0.009598393,0.1662516,0.003373032,0.009985215,0.146113],"study_design_scores_gemma":[0.00004642294,0.0001230018,0.955401,0.0000245658,0.00002645488,0.0001020964,0.00895056,0.01050947,0.006076541,0.000321812,0.01838257,0.00003543925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995271,0.00006553235,0.0004285179,0.0002352424,0.00000430127,0.00002299474,0.0001726651,0.00002947637,0.003770269],"genre_scores_gemma":[0.9899013,0.00008021993,0.001711429,0.00007507351,0.000001183019,0.000009582996,0.000240096,0.00001548086,0.007965588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01949096,"threshold_uncertainty_score":0.1147585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02506050988260342,"score_gpt":0.2324585270855537,"score_spread":0.2073980172029503,"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."}}