{"id":"W4391775557","doi":"10.1099/acmi.0.000791.v1.1","title":"SciScore Report for version 1","year":2024,"lang":"en","type":"report","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","bibliometrics","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008529487,0.002832197,0.002561657,0.01802761,0.002152306,0.01034036,0.004187383,0.00195483,0.4510961],"category_scores_gemma":[0.04524799,0.001536428,0.002597322,0.02502393,0.0007076403,0.004861448,0.003940601,0.003085355,0.5374027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001706396,"about_ca_system_score_gemma":0.00945697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007250755,"about_ca_topic_score_gemma":0.009084474,"domain_scores_codex":[0.9913682,0.0009443038,0.0009347695,0.0008188565,0.005058159,0.0008756927],"domain_scores_gemma":[0.9641696,0.006687179,0.002139155,0.006011872,0.01852618,0.002466073],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001250937,0.00003990646,0.0004916298,0.0003496748,0.00003190054,0.00001636156,0.00001893158,0.00008534732,0.0002066529,0.001071005,0.9881185,0.009445021],"study_design_scores_gemma":[0.0001687212,0.0001127632,0.007030515,0.000328776,0.00008749028,0.0001277404,0.00006629329,0.0004283089,0.001661196,0.003408796,0.9864945,0.00008470852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001199531,0.0003440017,0.004763938,0.001432759,0.001447342,0.0004199729,0.8759109,0.03000516,0.0844764],"genre_scores_gemma":[0.002224101,0.0006362234,0.006157172,0.0003085858,0.0003385009,0.0008853454,0.9401828,0.009038877,0.04022839],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9914705,"threshold_uncertainty_score":0.7829448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3776590115198022,"score_gpt":0.4989966970290883,"score_spread":0.1213376855092861,"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."}}