{"id":"W2943606884","doi":"","title":"Northern adapted flax variety development project","year":2011,"lang":"en","type":"article","venue":"","topic":"Phytoestrogen effects and research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Innovates; Saskatchewan Flax Development Commission","keywords":"Variety (cybernetics); Computer science; Artificial intelligence","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":[0.002256574,0.0004596559,0.000254831,0.001103385,0.001724504,0.001555087,0.0009919084,0.0004064057,0.03009764],"category_scores_gemma":[0.0009918957,0.0002313844,0.0002603609,0.0009482996,0.0004144555,0.0004029306,0.001523746,0.000814575,0.006704746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006446379,"about_ca_system_score_gemma":0.01989704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2938636,"about_ca_topic_score_gemma":0.522291,"domain_scores_codex":[0.9989623,0.000128559,0.0000221819,0.0001919086,0.0004404062,0.0002546792],"domain_scores_gemma":[0.998484,0.00007462211,0.00004007053,0.0001028709,0.0008035248,0.0004948884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002028978,0.0005734951,0.02353789,0.0003001481,0.00004210091,0.001190622,0.001688429,0.0005150896,0.02695793,0.01957611,0.5757598,0.3478294],"study_design_scores_gemma":[0.00008110768,0.0001697011,0.03171996,0.00004899956,0.00001174323,0.0001283828,0.0004659711,0.0002311308,0.002026155,0.0004432168,0.9646578,0.00001586866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09746318,0.002106196,0.01088636,0.006295862,0.0006066801,0.002203922,0.05930023,0.002658861,0.8184787],"genre_scores_gemma":[0.1110919,0.001402152,0.02689353,0.0029198,0.00004750004,0.001296851,0.09649162,0.000474915,0.7593817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2938636,"threshold_uncertainty_score":0.5843062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08810773660069074,"score_gpt":0.309926437178368,"score_spread":0.2218187005776773,"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."}}