{"id":"W4249378758","doi":"10.1007/978-3-319-47829-6_1968-1","title":"Sara Shettleworth","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Computer science","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":[0.0003319878,0.0008810225,0.0004508882,0.001149577,0.001194851,0.002619403,0.0005890224,0.001117412,0.1790609],"category_scores_gemma":[0.0008975129,0.0002738109,0.000213129,0.001144969,0.0007763522,0.003763161,0.00159145,0.002426978,0.106709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001203411,"about_ca_system_score_gemma":0.001269646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002886564,"about_ca_topic_score_gemma":0.01352152,"domain_scores_codex":[0.9998209,0.00002561647,0.000004918826,0.00003931469,0.00009089755,0.00001834846],"domain_scores_gemma":[0.9997889,0.00006688111,0.000008667575,0.00002086991,0.00008094875,0.00003375705],"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":[0.000009800844,0.0000133758,0.00003908634,0.00007631307,0.000001275635,0.00002429406,0.0002310576,0.00007979996,0.0001302967,0.04380251,0.8280691,0.1275231],"study_design_scores_gemma":[6.511147e-7,0.000001404616,0.00003276503,0.00005482993,5.666253e-7,0.00001786918,0.00005755769,0.00002221236,0.00003168961,0.005561255,0.9942178,0.000001427786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003661399,0.04195955,0.002756758,0.01112161,0.006759228,0.0000216219,0.0002419231,0.000256287,0.9365168],"genre_scores_gemma":[0.000860833,0.005258194,0.0003145435,0.0009374365,0.0003117964,0.000009779455,0.00005908497,0.00009282958,0.9921556],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1790609,"threshold_uncertainty_score":0.5990183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08968670012961918,"score_gpt":0.2065832237366417,"score_spread":0.1168965236070225,"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."}}