{"id":"W6884643946","doi":"10.1139/cjps-2014-247","title":"AAC Whitehorse great northern dry bean","year":2015,"lang":"en","type":"article","venue":"BioOne Complete (BioOne)","topic":"Plant pathogens and resistance mechanisms","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; White (mutation); Dry bean; Cultivar; Field (mathematics)","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":[0.0001944151,0.0003874309,0.0002643525,0.0006881699,0.0006866663,0.0004021711,0.0002821688,0.0001583101,0.007173927],"category_scores_gemma":[0.00009633115,0.0001570099,0.0002139157,0.0004435469,0.0001310498,0.000140781,0.000340637,0.0002766839,0.002978521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563306,"about_ca_system_score_gemma":0.0008516236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.102756,"about_ca_topic_score_gemma":0.2427489,"domain_scores_codex":[0.999805,0.00001311158,0.00000705097,0.00006841655,0.0000695104,0.00003696199],"domain_scores_gemma":[0.9997935,0.00001011397,0.00002312905,0.00002264616,0.00006186858,0.00008879727],"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":[0.0008692724,0.0001814872,0.009489973,0.0001366796,0.0000261246,0.0004010847,0.0001935286,0.000118941,0.9338055,0.0003789161,0.004532569,0.04986596],"study_design_scores_gemma":[0.0002065154,0.001109059,0.4719539,0.00007401539,0.00009602787,0.001837907,0.0004761849,0.0007888389,0.1764338,0.000208992,0.3467499,0.00006485641],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237477,0.001783866,0.004557537,0.0002304978,0.0001538409,0.0003747187,0.01040636,0.001526021,0.05721948],"genre_scores_gemma":[0.8370353,0.001357191,0.01553401,0.0002897093,0.00002564156,0.0002262367,0.01906049,0.0003981525,0.1260734],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.102756,"threshold_uncertainty_score":0.2043158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3143470733956497,"score_gpt":0.2194572444703453,"score_spread":0.09488982892530431,"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."}}