{"id":"W4240558012","doi":"10.1016/b978-0-08-100077-9.09996-6","title":"Introduction","year":2015,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver Biotech (Canada)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003537663,0.001251007,0.0006600058,0.002098285,0.00115388,0.004350194,0.00138417,0.001410057,0.5672213],"category_scores_gemma":[0.001041502,0.0004200575,0.0006461589,0.002009875,0.0006419298,0.003410054,0.002128225,0.001791223,0.5094187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001210609,"about_ca_system_score_gemma":0.001659186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002796754,"about_ca_topic_score_gemma":0.00541255,"domain_scores_codex":[0.9996475,0.00002688701,0.00001218786,0.00007118266,0.0002029452,0.0000392879],"domain_scores_gemma":[0.9997031,0.00004630607,0.00001251225,0.00004572654,0.0001243479,0.00006801731],"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":[0.00001881989,0.00004230153,0.00006355446,0.0002433398,0.00000251712,0.00004515217,0.000128819,0.0001754746,0.0005457504,0.02452368,0.7048787,0.269332],"study_design_scores_gemma":[0.000001356587,0.000004115557,0.00005899777,0.00008725444,0.000001046815,0.00003044949,0.0000274256,0.00002326134,0.00006188358,0.002498409,0.9972035,0.000002284052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002200472,0.003979901,0.002224111,0.0009179456,0.0021917,0.00005657335,0.0006374069,0.0004989365,0.9892734],"genre_scores_gemma":[0.0005153657,0.002045594,0.0006205615,0.0003027007,0.0003187159,0.00002526458,0.0004867461,0.0001665129,0.9955183],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4327787,"threshold_uncertainty_score":0.6173063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02892368894483701,"score_gpt":0.2566267001677456,"score_spread":0.2277030112229086,"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."}}