{"id":"W4297836515","doi":"10.5281/zenodo.7085261","title":"https://shark-tank-keto-gummies-offers.company.site/","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Law, AI, and Intellectual Property","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fishery; Business; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009757469,0.0002057561,0.0002094564,0.0002845342,0.004983352,0.001371378,0.003695945,0.00004558252,0.05880253],"category_scores_gemma":[0.000422972,0.0002028634,0.0001041844,0.001191721,0.0001996519,0.0006406392,0.005695914,0.0005375002,0.02280831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147756,"about_ca_system_score_gemma":0.000009904995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002247967,"about_ca_topic_score_gemma":1.986975e-7,"domain_scores_codex":[0.9968306,0.000706315,0.0003295545,0.0007333098,0.0008026759,0.0005975152],"domain_scores_gemma":[0.9982193,0.00004884044,0.0001186315,0.0009805572,0.0003864972,0.0002462162],"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":[0.0000616581,0.0002380161,0.000002688449,0.0000294177,0.00004682477,0.00004073997,0.004492697,0.0001787188,0.00412985,0.02440604,0.9057096,0.06066374],"study_design_scores_gemma":[0.0004071868,0.0004781212,0.00009479034,0.000008509515,0.000006493764,0.0001502669,0.0002278232,0.01612272,0.0009194842,0.0003801459,0.9809246,0.0002798554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01679737,0.0004129206,0.1017367,0.006342939,0.001085568,0.001126928,0.0002683753,0.003885672,0.8683436],"genre_scores_gemma":[0.9804796,0.0001054166,0.001102047,0.001663548,0.0002669645,2.626899e-7,0.0006365857,0.001056786,0.0146888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9636822,"threshold_uncertainty_score":0.9996653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04429233582767184,"score_gpt":0.2301471517981641,"score_spread":0.1858548159704923,"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."}}