{"id":"W6930858122","doi":"10.5281/zenodo.14984911","title":"liannagendall/HaidaGwaii_Kelp: v1","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Process (computing); Product (mathematics); Identification (biology)","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":[0.00141683,0.001121507,0.0009775241,0.001499058,0.0007610397,0.003421839,0.0023011,0.001483639,0.6810466],"category_scores_gemma":[0.003601713,0.0006932812,0.0007295276,0.001712267,0.000602196,0.002030284,0.002675745,0.0016498,0.6673887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008727238,"about_ca_system_score_gemma":0.001147973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00230265,"about_ca_topic_score_gemma":0.002371667,"domain_scores_codex":[0.9992406,0.0001071609,0.00006322646,0.0001121205,0.0003687712,0.0001080438],"domain_scores_gemma":[0.9988191,0.000232489,0.00009911339,0.0003254508,0.000255926,0.0002679834],"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":[0.0003192956,0.00003656679,0.0001523779,0.0003678891,0.00001868768,0.0001008702,0.00004588958,0.000197718,0.002372369,0.003975127,0.9431416,0.04927165],"study_design_scores_gemma":[0.00006251064,0.00002939027,0.0002927464,0.00006041216,0.000008232394,0.0001130822,0.0000161565,0.000218473,0.001875832,0.002141944,0.9951652,0.00001600334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.002753658,0.003424164,0.01620457,0.004418727,0.004872654,0.0003932251,0.3626902,0.04773026,0.5575125],"genre_scores_gemma":[0.02006286,0.003045301,0.009892999,0.001753559,0.001004064,0.0006371615,0.2806908,0.02999363,0.6529197],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.6810466,"threshold_uncertainty_score":0.4549483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565675640857823,"score_gpt":0.2642716880993208,"score_spread":0.2386149316907426,"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."}}