{"id":"W2040455265","doi":"10.1038/nmat3926","title":"Boosting plant biology","year":2014,"lang":"en","type":"letter","venue":"Nature Materials","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Boosting (machine learning); Plant biology; Nanotechnology; Materials science; Computational biology; Biology; Computer science; Artificial intelligence; Botany","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.003342084,0.000579256,0.0005597704,0.0003884943,0.002217304,0.00367096,0.001066497,0.01867376,0.01626118],"category_scores_gemma":[0.01187633,0.0003720928,0.0005718779,0.0001877938,0.004077842,0.003827031,0.00390006,0.02330622,0.007753438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002078154,"about_ca_system_score_gemma":0.001726177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007270863,"about_ca_topic_score_gemma":0.001882072,"domain_scores_codex":[0.9979803,0.0003890577,0.00008188628,0.0003179772,0.0008828928,0.000347984],"domain_scores_gemma":[0.9954991,0.001878468,0.0001972916,0.0004586086,0.0006596555,0.001306898],"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":[0.0001043673,0.00005089272,0.0002541719,0.00007893568,0.00001772319,0.0003029893,0.00006303476,0.00008976929,0.001405311,0.0463137,0.9107529,0.04056619],"study_design_scores_gemma":[0.00005369827,0.00004110151,0.0002129062,0.00004367741,0.000009188347,0.0002747177,0.00004581686,0.0001837324,0.0007194877,0.0352746,0.9631277,0.00001350902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001004995,0.01043994,0.001387033,0.8988009,0.0684401,0.00001738129,0.00005088589,0.0002071831,0.01965155],"genre_scores_gemma":[0.02005216,0.003899524,0.0009691975,0.8811883,0.04694156,0.00004291997,0.00004135745,0.00007076765,0.04679415],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01867376,"threshold_uncertainty_score":0.05439907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007562956720652013,"score_gpt":0.2452964769136992,"score_spread":0.2377335201930472,"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."}}