{"id":"W4296000253","doi":"10.5281/zenodo.7084649","title":"What Are The Ingredients In Skincell Advanced Australia?","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001550225,0.001148893,0.000892431,0.001946173,0.00227754,0.003930565,0.001164304,0.006464616,0.1730178],"category_scores_gemma":[0.004027113,0.0007056412,0.001012626,0.001058963,0.001056224,0.007516953,0.001759456,0.004180759,0.1265061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001110139,"about_ca_system_score_gemma":0.002299873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005300819,"about_ca_topic_score_gemma":0.008385745,"domain_scores_codex":[0.9991459,0.0001132478,0.0000759765,0.0001172267,0.0004614147,0.00008626557],"domain_scores_gemma":[0.9978976,0.0002321018,0.0002768091,0.00008628261,0.0008642455,0.0006429176],"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":[0.0004357724,0.0007070934,0.001199292,0.002866387,0.0000223982,0.000584137,0.0007133569,0.00006574588,0.004073765,0.00591893,0.5936022,0.3898109],"study_design_scores_gemma":[0.00001580613,0.00008798634,0.0006671684,0.0004467555,0.00001162953,0.0002689816,0.0003230264,0.00002305532,0.0006214277,0.0003967779,0.9971188,0.000018415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01685101,0.1821123,0.006776285,0.1381735,0.05874937,0.002170503,0.004346148,0.00692564,0.5838953],"genre_scores_gemma":[0.02356309,0.07346576,0.01089246,0.08146539,0.005589492,0.001004636,0.002597272,0.001977942,0.799444],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8269822,"threshold_uncertainty_score":0.5788022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07109753333020064,"score_gpt":0.2620003883230242,"score_spread":0.1909028549928236,"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."}}