{"id":"W4393657532","doi":"10.5281/zenodo.3627347","title":"ePSproc: ABCO wavefn run, HOMO ioinzation (A1), 0.5:1:10.5, orb 31","year":2020,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Chemical Physics Studies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Orb (optics); Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007873792,0.002605184,0.001564443,0.002167146,0.001100908,0.003023311,0.003550265,0.002599943,0.2356802],"category_scores_gemma":[0.004127581,0.001171873,0.001431208,0.004783258,0.0003815026,0.002232817,0.001761439,0.002370734,0.2879761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002022141,"about_ca_system_score_gemma":0.00205687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02958702,"about_ca_topic_score_gemma":0.04163968,"domain_scores_codex":[0.9993743,0.000091043,0.00005522343,0.0001798167,0.0001799397,0.00011971],"domain_scores_gemma":[0.998503,0.0004156205,0.0001090539,0.0004456338,0.0003733647,0.0001533808],"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":[0.00002471058,0.000006629758,0.0001532654,0.0002440932,0.00001073647,0.000007773238,0.00000600008,0.0001599479,0.00004198776,0.0003024912,0.9983499,0.0006924797],"study_design_scores_gemma":[0.0003491791,0.00001205453,0.002064573,0.0001862652,0.0000231936,0.00002706548,0.00003866376,0.0006030824,0.0005324396,0.002391366,0.9937394,0.00003275795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005655348,0.00003280918,0.00006313614,0.0000485966,0.00002216016,0.000005648365,0.9970293,0.001170953,0.0015709],"genre_scores_gemma":[0.0003698503,0.00004507234,0.000291781,0.00005418841,0.000007720475,0.00004710724,0.9971073,0.000735126,0.00134179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2356802,"threshold_uncertainty_score":0.7884289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462799266545548,"score_gpt":0.2495972544484501,"score_spread":0.2249692617829946,"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."}}