{"id":"W6931739734","doi":"10.5281/zenodo.7003356","title":"Copelatus glyphicus NA","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Instar; Ephemeral key; Head (geology); Margin (machine learning); Dorsum","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00120253,0.0001557473,0.0001592467,0.0002489804,0.00405667,0.001039178,0.003732271,0.00003586599,0.01150102],"category_scores_gemma":[0.0003233719,0.000176123,0.00007448054,0.001353821,0.0001188459,0.0003812164,0.00934845,0.0004849661,0.004644018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00035344,"about_ca_system_score_gemma":0.00000955208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001966499,"about_ca_topic_score_gemma":1.214511e-7,"domain_scores_codex":[0.9970892,0.000709392,0.0002731324,0.0006947602,0.0007476397,0.0004858633],"domain_scores_gemma":[0.9982445,0.00004977128,0.0001051419,0.001028653,0.0003653792,0.0002065792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004457882,0.0005729771,0.00001539903,0.00004110578,0.00005360696,0.0001287336,0.003283407,0.002693946,0.001908379,0.08353759,0.1799319,0.7277884],"study_design_scores_gemma":[0.0004129301,0.0003556497,0.0007426569,0.000003427213,0.000004257455,0.0003609276,0.0001321135,0.02948346,0.0001146834,0.002177346,0.9659785,0.0002340631],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04172522,0.0004917966,0.6551551,0.006979339,0.001790341,0.001805975,0.0003313561,0.008493483,0.2832274],"genre_scores_gemma":[0.991551,0.00001322192,0.005600302,0.0004936804,0.0001466251,1.504237e-7,0.0003122578,0.0008235943,0.001059119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9498258,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149293776746823,"score_gpt":0.2318291505224746,"score_spread":0.2003362127550063,"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."}}