{"id":"W4398628727","doi":"10.7910/dvn/mj2rco/ign10j","title":"sources.txt","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Molecular Spectroscopy and Structure","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Lamb shift; Hydrogen; Chemistry; Environmental science; Physics; Organic chemistry; Nuclear physics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007268903,0.0004655692,0.0004657069,0.00008373328,0.00009738306,0.0001329333,0.00115239,0.000721523,0.4575707],"category_scores_gemma":[0.00009028176,0.0004509301,0.0002132876,0.00007909162,0.00007446213,0.0001025834,0.0004595419,0.0009774894,0.3010793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000840147,"about_ca_system_score_gemma":0.0001361186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001469226,"about_ca_topic_score_gemma":0.0000386601,"domain_scores_codex":[0.9980847,0.00002424761,0.0002946,0.0006881779,0.0004567928,0.0004514383],"domain_scores_gemma":[0.9969352,0.00003461006,0.0002305377,0.002610315,0.00003341154,0.0001559306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003990442,0.00002776942,0.000005570775,0.0004763423,0.0001200428,0.0002140182,0.000008844738,0.000005029568,0.001985783,0.00002708982,0.9970475,0.00004212499],"study_design_scores_gemma":[0.0004045989,0.00001304699,0.000001971408,0.000100646,0.0001776032,0.00004694425,0.00002282856,0.000009073859,0.002703422,0.00003134158,0.9959975,0.000491031],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001066633,0.000003320531,0.00001630537,0.000002031748,0.000562494,0.00008384245,0.9950518,0.00005686459,0.004116648],"genre_scores_gemma":[0.0000195567,0.0001984798,0.0001248129,0.0003381046,0.0005706915,0.00001073071,0.9942345,0.00004129564,0.004461819],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1564914,"threshold_uncertainty_score":0.9997942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009008336270379036,"score_gpt":0.2361800020906625,"score_spread":0.2271716658202835,"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."}}