{"id":"W6931497321","doi":"10.5281/zenodo.8342764","title":"moustakas/legacyhalos: v1.4","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Process (computing); Action (physics); Work (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001369544,0.002046929,0.00114399,0.001814432,0.0007941963,0.003777379,0.003355649,0.002006892,0.4664674],"category_scores_gemma":[0.002595604,0.001000513,0.0008372375,0.001207569,0.0009725101,0.002676339,0.002909194,0.002014622,0.5539023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007370868,"about_ca_system_score_gemma":0.0009149658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002695262,"about_ca_topic_score_gemma":0.00255686,"domain_scores_codex":[0.9995152,0.00005228343,0.00004308637,0.0001015101,0.0002027825,0.00008512774],"domain_scores_gemma":[0.9991665,0.0001273025,0.0001096213,0.0002553595,0.0001171787,0.0002241287],"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":[0.0008532666,0.00009869943,0.0004352378,0.0006766229,0.00004908286,0.0002276803,0.0001091756,0.0006505123,0.009113788,0.0106702,0.8825653,0.09455033],"study_design_scores_gemma":[0.0001549715,0.00005887127,0.0006111094,0.0001055543,0.00001793836,0.0002067953,0.00001806936,0.0006176252,0.004190186,0.006680109,0.9872934,0.00004544102],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.003771073,0.003585282,0.07001671,0.001984379,0.001380606,0.0004598409,0.1448897,0.3535772,0.4203353],"genre_scores_gemma":[0.03320443,0.003847263,0.03606891,0.001826036,0.0007673661,0.001240058,0.1962971,0.2202562,0.5064927],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.4664674,"threshold_uncertainty_score":0.7610195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05042702334585503,"score_gpt":0.2612634194793493,"score_spread":0.2108363961334943,"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."}}