{"id":"W4291226539","doi":"10.5281/zenodo.192422","title":"Analysis of Genetic Diversity Using Simple Sequence Repeat (SSR) Markers and Growth Regulator Response in Biofield Treated Cotton (Gossypium hirsutum L.)","year":2015,"lang":"en","type":"article","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":"","funders":"","keywords":"Gossypium hirsutum; Genetic diversity; Biology; Sequence (biology); Regulator; Diversity (politics); Microsatellite; Genetics; Botany; Agronomy; Allele; Gene; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001460374,0.0002446649,0.0002233934,0.000526721,0.000171391,0.0001553552,0.0001065741,0.0002358132,0.0005856929],"category_scores_gemma":[0.0001670919,0.00009021928,0.0003080478,0.0003455353,0.0001053492,0.00008034296,0.0001133873,0.0002623113,0.000123285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001320425,"about_ca_system_score_gemma":0.0001053327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001841622,"about_ca_topic_score_gemma":0.003246772,"domain_scores_codex":[0.9998715,0.0000193655,0.00001386455,0.00004242727,0.00003357714,0.00001925549],"domain_scores_gemma":[0.9998511,0.00001980002,0.00006045745,0.000007769478,0.00003478649,0.00002607108],"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":[0.0001207162,0.00003940705,0.004434666,0.00002993959,0.00001212339,0.00007068028,0.00006270142,0.00001899596,0.9936759,0.00000655659,0.00001080725,0.001517511],"study_design_scores_gemma":[0.00001801905,0.001798189,0.8432118,0.0000146303,0.00008385324,0.0005751742,0.0003765258,0.0003574655,0.1520736,0.00003109416,0.001440107,0.00001949484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987981,0.0002180171,0.0004216055,0.00002085235,0.000004159845,0.00001639143,0.0003364754,0.00001003518,0.0001742544],"genre_scores_gemma":[0.9939831,0.0002800431,0.002036528,0.00004199815,0.000004153022,0.00006151132,0.001858035,0.00001048054,0.001724228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001841622,"threshold_uncertainty_score":0.003661752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496202762468458,"score_gpt":0.2472922370800351,"score_spread":0.2223302094553506,"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."}}