{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004710349,0.0004111806,0.0004046625,0.0002336686,0.0008534738,0.002304286,0.000323787,0.001975618,0.01603572],"category_scores_gemma":[0.001786353,0.0001151596,0.0003332603,0.0002871189,0.001592015,0.002509126,0.0006936805,0.001651238,0.002839412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001101232,"about_ca_system_score_gemma":0.000563206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001644403,"about_ca_topic_score_gemma":0.001460168,"domain_scores_codex":[0.9998198,0.0000440984,0.000007037665,0.00004354604,0.00004809858,0.00003738067],"domain_scores_gemma":[0.9995646,0.0001687879,0.00002987467,0.00004710715,0.0001218438,0.00006775335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008106446,0.000137613,0.006327544,0.001385718,0.0001520782,0.003858358,0.004635566,0.001810526,0.2173394,0.5323022,0.06763229,0.1636081],"study_design_scores_gemma":[0.00004828377,0.0002448219,0.004594289,0.0002981461,0.000102747,0.001684979,0.009658371,0.002170499,0.0435458,0.4790945,0.458469,0.00008845422],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2161216,0.0342686,0.04498038,0.3664897,0.02303936,0.00008597281,0.0007612612,0.0004186515,0.3138344],"genre_scores_gemma":[0.7626583,0.01586375,0.007910668,0.01587377,0.002574567,0.00003723832,0.0003128939,0.0001101321,0.1946588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01603572,"threshold_uncertainty_score":0.0536449,"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."}}