{"id":"W4321390630","doi":"10.5281/zenodo.7656627","title":"dasdas","year":2023,"lang":"de","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Computer science","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006767802,0.0003590119,0.0003440306,0.0001307579,0.002911247,0.00116067,0.001727276,0.0002362038,0.03268789],"category_scores_gemma":[0.001647554,0.0004135994,0.0001825012,0.001025992,0.0003138618,0.0001840311,0.002791557,0.0006244741,0.08267396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002826482,"about_ca_system_score_gemma":0.000007559928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004391024,"about_ca_topic_score_gemma":3.672847e-8,"domain_scores_codex":[0.9971995,0.0001239465,0.0005099367,0.000749777,0.0006254768,0.000791416],"domain_scores_gemma":[0.9976923,0.00008130407,0.0002244039,0.0009268933,0.0007338022,0.0003413036],"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":[0.0001184336,0.0001594567,0.000005289888,0.0007185885,0.0003520756,0.0002438249,0.001722445,0.00002064876,0.07185512,0.0002359048,0.8920631,0.03250512],"study_design_scores_gemma":[0.0007688813,0.00006748207,0.00005607918,0.000139635,0.00009740906,0.00008656816,0.001364819,0.0001836556,0.0287667,0.0001136697,0.9679409,0.0004142516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0997562,0.002671352,0.0001542065,0.004973257,0.0009323261,0.0003803248,0.002269158,0.004586148,0.884277],"genre_scores_gemma":[0.9052358,0.002365769,0.00006307319,0.0002635306,0.004453087,8.743451e-8,0.01460394,0.004587994,0.06842669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8158503,"threshold_uncertainty_score":0.9998762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04529890913237619,"score_gpt":0.2587005222759354,"score_spread":0.2134016131435592,"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."}}