{"id":"W6949422857","doi":"10.5281/zenodo.13172864","title":"neurobagel_api","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Rest (music); Work (physics); Identification (biology); Position (finance)","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":[],"consensus_categories":[],"category_scores_codex":[0.001045475,0.002860965,0.001570978,0.001798235,0.001123456,0.00341155,0.004397118,0.00129088,0.1193834],"category_scores_gemma":[0.004451244,0.001237582,0.002034654,0.001250515,0.0007388935,0.003196312,0.004369255,0.002518377,0.2020257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001455199,"about_ca_system_score_gemma":0.001815795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239533,"about_ca_topic_score_gemma":0.01865556,"domain_scores_codex":[0.9989614,0.0001066539,0.00008863331,0.0002773355,0.0004136336,0.0001523548],"domain_scores_gemma":[0.998764,0.0002301675,0.0000527668,0.0004088727,0.0004518554,0.00009238271],"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":[0.0002481559,0.00003773765,0.0007436071,0.0004956447,0.00004743592,0.0001361517,0.00008392393,0.001262065,0.002396225,0.004554837,0.9490069,0.04098725],"study_design_scores_gemma":[0.00008361307,0.00002570604,0.001277757,0.0001391556,0.00005385045,0.0003072647,0.00006681713,0.0119293,0.01372476,0.01470727,0.9575295,0.0001549634],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001624116,0.0004342566,0.07348924,0.000395695,0.0003992205,0.0002114195,0.09350548,0.7866339,0.04330669],"genre_scores_gemma":[0.0294065,0.0008556976,0.08626169,0.00283519,0.000279885,0.002086258,0.4213031,0.3687903,0.08818144],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1193834,"threshold_uncertainty_score":0.3993775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05542851261268891,"score_gpt":0.2016718602152394,"score_spread":0.1462433476025505,"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."}}