{"id":"W6930126178","doi":"10.5281/zenodo.12787834","title":"Khloe Kardashian Weight Loss : Decoding the Mysteries Behind her Dramatic Transformation","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weight loss; Body weight; Variety (cybernetics); Daughter; Icon; Key (lock)","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":[0.0008166638,0.0004019006,0.0001651871,0.0004225586,0.006592738,0.004311786,0.0004931483,0.0007311974,0.01463395],"category_scores_gemma":[0.001857979,0.0001408827,0.0001107061,0.0003924959,0.007834285,0.003117558,0.003697205,0.003393161,0.003881078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329854,"about_ca_system_score_gemma":0.001209194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006709225,"about_ca_topic_score_gemma":0.02240444,"domain_scores_codex":[0.9995043,0.0002239816,0.000005025704,0.00004011454,0.0001084019,0.0001181547],"domain_scores_gemma":[0.9995408,0.000130496,0.00003859398,0.00003325305,0.0000726022,0.000184292],"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":[0.0001319059,0.00004405856,0.001410455,0.000161437,0.000008495575,0.0007010829,0.1379257,0.00007429597,0.0007610549,0.1763921,0.6050195,0.07736986],"study_design_scores_gemma":[0.000006348677,0.0000193894,0.001640518,0.0001664879,0.000002831387,0.000304691,0.07161302,0.00009321015,0.0002715665,0.00812157,0.9177462,0.00001415793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08679801,0.01975284,0.002097945,0.1662279,0.009399693,0.00004039898,0.000224733,0.0002868433,0.7151716],"genre_scores_gemma":[0.6108046,0.01138886,0.001389169,0.01915144,0.002168163,0.0000815324,0.0001435491,0.0003614366,0.3545113],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.985366,"threshold_uncertainty_score":0.04895544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02332966904688393,"score_gpt":0.2481637951759967,"score_spread":0.2248341261291127,"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."}}