{"id":"W2740382412","doi":"","title":"Hidden Connections Between NanoTesla Magnetic Fields, Cosic Molecular Resonance, and Photonic Fields Within Living Systems","year":2016,"lang":"en","type":"article","venue":"World Scientific News","topic":"Biofield Effects and Biophysics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"","keywords":"Physics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003313594,0.0001568862,0.0002795153,0.0001528494,0.0002145717,0.0001454674,0.0001173901,0.000113572,0.0001544288],"category_scores_gemma":[0.00008632686,0.0001032991,0.00007423814,0.0004528046,0.0001967827,0.00007714183,0.00007674196,0.0001836467,0.00005268279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003124701,"about_ca_system_score_gemma":0.00007515216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001790362,"about_ca_topic_score_gemma":0.0005602717,"domain_scores_codex":[0.9986625,0.00006390701,0.0002601448,0.0004575948,0.0002592005,0.0002966881],"domain_scores_gemma":[0.9989393,0.0002787284,0.00007772583,0.0004703819,0.00006971869,0.0001641172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001219192,0.0003436132,0.07831574,0.000752668,0.0002247808,0.0002421983,0.001885584,0.000005332178,0.5286295,0.01295729,0.1313059,0.2452155],"study_design_scores_gemma":[0.008208848,0.003412602,0.1020972,0.01101346,0.001555675,0.0003349315,0.001061363,0.002770662,0.2362311,0.004915688,0.6252004,0.003198095],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868526,0.00257926,0.0005860354,0.002719203,0.001785151,0.0005888999,0.00001646398,0.00009373162,0.004778679],"genre_scores_gemma":[0.9554756,0.00002513652,0.0002158302,0.0003193048,0.0002111754,0.00002347857,0.00000384934,0.00001431974,0.04371129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4938945,"threshold_uncertainty_score":0.4212416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01456940461613293,"score_gpt":0.2392663207878106,"score_spread":0.2246969161716777,"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."}}