{"id":"W2079584350","doi":"10.1002/1522-2594(200012)44:6<840::aid-mrm4>3.0.co;2-k","title":"Macromolecule and water magnetization exchange modeling in articular cartilage","year":2000,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Arthritis Research Centre of Canada; Toronto Western Hospital; University of Waterloo; University of Toronto","funders":"","keywords":"Proteoglycan; Magnetization transfer; Magnetization; Cartilage; Chemistry; Relaxation (psychology); Macromolecule; Biophysics; Osteoarthritis; Coupling (piping); Nuclear magnetic resonance; Articular cartilage; Extracellular matrix; Anatomy; Materials science; Biochemistry; Pathology; Composite material; Magnetic resonance imaging; Physics; Biology; Medicine; Internal medicine; Magnetic field","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":[0.0003213296,0.0003414828,0.0003246599,0.0003600681,0.0001862519,0.0002983516,0.0006190688,0.0007374272,0.0005453853],"category_scores_gemma":[0.0006189932,0.0001632815,0.0003602564,0.000280795,0.0002592576,0.0004937742,0.0001849515,0.000181258,0.0002305263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003876838,"about_ca_system_score_gemma":0.0004717743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005528429,"about_ca_topic_score_gemma":0.002732675,"domain_scores_codex":[0.999923,0.00002401623,0.000004449264,0.00001605213,0.00002359492,0.000008875072],"domain_scores_gemma":[0.9998665,0.00006284153,0.00002151247,0.00001102983,0.0000252712,0.00001293508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008815074,0.00004653545,0.001102171,0.0001239684,0.00002851853,0.0001801071,0.00009568809,0.8715884,0.1146623,0.003954072,0.0001118642,0.008018275],"study_design_scores_gemma":[0.000007701698,0.00005476408,0.0003639912,0.000003827492,0.000008367149,0.00003660501,0.00001412271,0.9891353,0.008661826,0.00116795,0.0005390584,0.000006586179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.735252,0.001737283,0.2576061,0.0002237159,0.00003298546,0.00005387874,0.0001968584,0.0003243028,0.004572904],"genre_scores_gemma":[0.9669396,0.0008202619,0.02918738,0.00002881212,0.000009190616,0.00006335806,0.0001454031,0.00004313115,0.002762855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005528429,"threshold_uncertainty_score":0.01099247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394314187560167,"score_gpt":0.2381580501840492,"score_spread":0.2242149083084476,"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."}}