{"id":"W4288562842","doi":"","title":"Could GaAs Know What Bacterium Has Bitten It / Czy GaAs Moze Wiedziec Jaka Bakteria Go Gryzie?","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":"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":[0.0003041203,0.0003865053,0.0003948452,0.0002944432,0.000737111,0.001792228,0.0002437473,0.001144957,0.008828993],"category_scores_gemma":[0.0008423091,0.0001597758,0.0003424408,0.0002876302,0.001556197,0.002287741,0.0007774304,0.001522918,0.002197212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013071,"about_ca_system_score_gemma":0.0007370861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00479854,"about_ca_topic_score_gemma":0.004470005,"domain_scores_codex":[0.9998203,0.00002446699,0.000008203659,0.00005435896,0.000038032,0.00005461733],"domain_scores_gemma":[0.9998234,0.00003762397,0.00002778491,0.00002999541,0.00005333173,0.000027915],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001023116,0.000133409,0.02451589,0.001665989,0.0002970274,0.005177502,0.006838045,0.00180088,0.445754,0.3655145,0.02529952,0.1219803],"study_design_scores_gemma":[0.00005308757,0.0003263027,0.03747824,0.0005815894,0.0002458531,0.003765428,0.0239676,0.001808335,0.1125654,0.3080673,0.5109636,0.0001773485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5362251,0.04179887,0.03200059,0.1613845,0.008237221,0.0001082563,0.001367587,0.0004017578,0.2184761],"genre_scores_gemma":[0.8860251,0.01282881,0.006734245,0.0084615,0.0003964616,0.00003392128,0.0004371213,0.00009159988,0.08499122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008828993,"threshold_uncertainty_score":0.02953595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02028902642634182,"score_gpt":0.2437193502426686,"score_spread":0.2234303238163267,"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."}}