{"id":"W4392095749","doi":"10.26508/lsa.202302348","title":"Galectin-8 modulates human osteoclast activity partly through isoform-specific interactions","year":2024,"lang":"en","type":"article","venue":"Life Science Alliance","topic":"Galectins and Cancer Biology","field":"Immunology and Microbiology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Faculté de médecine et des sciences de la santé, Université de Sherbrooke; Fonds de recherche du Québec – Nature et technologies; Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec; Université de Sherbrooke","keywords":"Gene isoform; Osteoclast; Alternative splicing; Cell biology; Galectin; Bone resorption; HEK 293 cells; Chemistry; Biology; Receptor; Biochemistry; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001449512,0.0001991066,0.000129898,0.0001700508,0.00008190479,0.0002474635,0.0001181895,0.0001333975,0.001280573],"category_scores_gemma":[0.0001344105,0.00006679502,0.0001952825,0.0001806896,0.0001435555,0.0001349714,0.0002058274,0.0003271084,0.0002027846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002232688,"about_ca_system_score_gemma":0.0001429847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004908398,"about_ca_topic_score_gemma":0.0007296493,"domain_scores_codex":[0.9998517,0.00003598034,0.00001115696,0.00002344324,0.00004284964,0.00003474205],"domain_scores_gemma":[0.9999552,0.000006326042,0.00001432113,0.00000507229,0.000009562639,0.000009561217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001805341,0.00002147365,0.001330262,0.00003850306,0.00001178841,0.00003759528,0.000009044759,0.00003865811,0.995116,0.00005031232,0.0000752373,0.00309062],"study_design_scores_gemma":[0.00006924414,0.0006345498,0.05306108,0.00001132648,0.00006331172,0.001000714,0.00005290674,0.001164387,0.9361438,0.0001613936,0.007626088,0.00001143042],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944754,0.002608248,0.00128563,0.0001088582,0.0000159749,0.00001858879,0.0002926814,0.00003144422,0.001163239],"genre_scores_gemma":[0.9968411,0.000845961,0.000636883,0.00008573078,0.000006591754,0.00001426571,0.0004369323,0.000005798825,0.001126879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001280573,"threshold_uncertainty_score":0.004283965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935363383300616,"score_gpt":0.3211396931905976,"score_spread":0.2817860593575914,"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."}}