{"id":"W4288336922","doi":"","title":"Could GaAs Know What Bacterium Has Bitten It ?","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Biofield Effects and Biophysics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Bacteria; Computer science; Biology; Genetics","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"],"consensus_categories":[],"category_scores_codex":[0.002170772,0.0004238354,0.0006373671,0.0001428527,0.0001957707,0.0008086728,0.0007198085,0.0006409808,0.0004898794],"category_scores_gemma":[0.0004376554,0.0003836666,0.0003596844,0.0002492059,0.0002709876,0.0001966052,0.001141158,0.001164149,0.0003143821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001156377,"about_ca_system_score_gemma":0.0004490577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006957934,"about_ca_topic_score_gemma":0.0002828608,"domain_scores_codex":[0.9963102,0.001505341,0.0004733785,0.0008217073,0.000472399,0.0004169561],"domain_scores_gemma":[0.9943423,0.0007278072,0.0003901459,0.002664849,0.001623731,0.0002511597],"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":[0.0004279717,0.005818584,0.01681378,0.007771246,0.001619602,0.0001546647,0.02754018,0.00006961609,0.1550793,0.02592184,0.1434986,0.6152846],"study_design_scores_gemma":[0.003119411,0.00000750471,0.0210095,0.02326246,0.0006127773,0.00008400829,0.000619769,0.01561492,0.2374888,0.001555307,0.6948672,0.001758376],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.393482,0.008704607,0.02998603,0.3882496,0.004137979,0.003676198,0.0001740661,0.0008596702,0.1707298],"genre_scores_gemma":[0.9327843,0.005370765,0.009399445,0.002247992,0.0001957154,0.0000691106,0.001402296,0.00009786201,0.04843247],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6135263,"threshold_uncertainty_score":0.9998615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125497696442559,"score_gpt":0.2461811624936887,"score_spread":0.2249261855292631,"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."}}