{"id":"W4393556291","doi":"10.5281/zenodo.3629715","title":"ePSproc: DABCO wavefn run, HOMO ioinzation (orb 31 A1P), 0.01 - 5.01eV high res","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced X-ray Imaging Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Orb (optics); DABCO; Computer science; Biology; Artificial intelligence","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":[0.00003917151,0.0006181569,0.0005701257,0.0001456872,0.0001937289,0.0002065302,0.0009835315,0.0002399511,0.08215103],"category_scores_gemma":[0.0002454327,0.0006427141,0.0002069958,0.0003225202,0.00002072222,0.0003455835,0.0006060637,0.0009583889,0.008029306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009078863,"about_ca_system_score_gemma":0.0002191046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001317671,"about_ca_topic_score_gemma":0.000007260945,"domain_scores_codex":[0.9977612,0.00005502227,0.0004654486,0.0008267665,0.000389655,0.0005019326],"domain_scores_gemma":[0.9979524,0.0001271555,0.0005199434,0.001043086,0.0001732209,0.000184184],"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":[0.000009377897,0.0000564595,0.000005527845,0.0002764398,0.00005808959,0.00001955638,0.00001365348,0.000009681999,0.00001286241,0.00004824349,0.997323,0.002167139],"study_design_scores_gemma":[0.000240929,0.00005250492,0.00004237078,0.001669284,0.00005539454,0.000001498103,0.00001463168,0.00002955438,0.001088496,0.002568618,0.9935565,0.0006802033],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001017234,0.00009594447,0.0001639267,0.0002063719,0.0001338143,0.0006685733,0.9976388,0.0004229385,0.0006685636],"genre_scores_gemma":[0.00013015,0.000008574375,0.002226657,0.0003310103,0.00162803,0.0007278568,0.9943825,0.0001019651,0.0004632656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07412172,"threshold_uncertainty_score":0.9996024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02320252686322204,"score_gpt":0.2798606487893783,"score_spread":0.2566581219261563,"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."}}