{"id":"W172281723","doi":"10.1007/978-94-017-3674-9_90","title":"Accelerated Breeding: Dream or Reality?","year":2001,"lang":"en","type":"book-chapter","venue":"Developments in plant breeding","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Agriculture and Agri-Food Canada","funders":"","keywords":"Selection (genetic algorithm); Perspective (graphical); Biology; Abiotic component; Biochemical engineering; Biotechnology; Computer science; Engineering; Artificial intelligence; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005562085,0.0006481914,0.0006858515,0.0001462963,0.0002879611,0.0002316157,0.0007041111,0.000714992,0.001860966],"category_scores_gemma":[0.00005098869,0.0002933746,0.0001081014,0.0002567861,0.00005027665,0.0001377169,0.0003047604,0.0006525966,0.0001496748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001924134,"about_ca_system_score_gemma":0.00006552349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003429961,"about_ca_topic_score_gemma":0.002240039,"domain_scores_codex":[0.9968337,0.00001842794,0.0008711093,0.0008467322,0.0006524108,0.0007775568],"domain_scores_gemma":[0.9989237,0.0002905897,0.000366053,0.00008819702,0.0001015945,0.0002299295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001101029,0.0002974172,0.0409731,0.0002906948,0.0007127568,0.004482886,0.00123047,0.00003866717,0.05159413,0.03081678,0.1124686,0.7559935],"study_design_scores_gemma":[0.0003717727,0.0002293906,0.01343291,0.001228833,0.00003411598,0.0004285378,0.0001128631,0.00006382417,0.0002402084,0.001340384,0.9812403,0.001276904],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03979649,0.0002141188,0.000002063078,0.0004496192,0.001268475,0.0006254725,0.0009083612,0.0002066601,0.9565287],"genre_scores_gemma":[0.3391916,0.006231118,0.0007799186,0.0009801169,0.002613165,0.00005764497,0.008034882,0.0000387654,0.6420728],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8687716,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1403613001752144,"score_gpt":0.2497437551079728,"score_spread":0.1093824549327584,"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."}}