{"id":"W2013405865","doi":"10.4141/p05-171","title":"Information systems for crop performance data","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Plant Science","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; European Molecular Biology Laboratory; PepsiCo","keywords":"Context (archaeology); Data science; Computer science; Sophistication; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01386087,0.00144721,0.001928128,0.01301265,0.001615342,0.01054804,0.003861721,0.003448766,0.03720499],"category_scores_gemma":[0.05467192,0.001028321,0.002060899,0.02616172,0.001146412,0.01858426,0.005877459,0.004371861,0.03484009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004001568,"about_ca_system_score_gemma":0.005581029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006730814,"about_ca_topic_score_gemma":0.003695351,"domain_scores_codex":[0.9923595,0.00225674,0.001768124,0.001019247,0.002251518,0.0003448799],"domain_scores_gemma":[0.9488786,0.02534576,0.003704762,0.0109761,0.009781419,0.001313322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001698295,0.0000845483,0.002197966,0.005276477,0.0002244702,0.0004574434,0.0009014092,0.003143786,0.001785524,0.1891625,0.4624766,0.3341195],"study_design_scores_gemma":[0.00002591529,0.00002230299,0.001155948,0.001029043,0.00003585509,0.000200971,0.0001648424,0.003139856,0.0007891071,0.05726998,0.9360961,0.00007004091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004334981,0.0360026,0.4670478,0.03056279,0.004227169,0.00247296,0.2115995,0.07326242,0.1704899],"genre_scores_gemma":[0.04328411,0.04391568,0.5353773,0.00861039,0.002598726,0.003022589,0.3199674,0.008481859,0.03474198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03720499,"threshold_uncertainty_score":0.1244631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05521067865511942,"score_gpt":0.2398841153837496,"score_spread":0.1846734367286302,"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."}}