{"id":"W6948340561","doi":"10.5061/dryad.p2ngf1vqv","title":"Mass spectrometry of natively decorated doublet microtubule from Tetrahymena thermophila WT and mutants","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Microtubule; Tetrahymena; Cilium; Dynein; Basal body; Flagellum; Mutant; Docking (animal)","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":[0.0008286708,0.002276276,0.00169736,0.001700891,0.001422977,0.001537153,0.002253635,0.002373399,0.01036294],"category_scores_gemma":[0.002310008,0.00045264,0.001693852,0.002616754,0.0005403117,0.000932763,0.001300149,0.001201778,0.01100562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00109998,"about_ca_system_score_gemma":0.001212197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01596446,"about_ca_topic_score_gemma":0.03111071,"domain_scores_codex":[0.9993766,0.000070983,0.0000541195,0.0002821602,0.0001293214,0.00008683105],"domain_scores_gemma":[0.9993718,0.000213772,0.00008260939,0.0001364842,0.0001289209,0.00006652351],"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":[0.001465601,0.0002531623,0.02081759,0.007081531,0.001219042,0.001027042,0.0002048541,0.007832909,0.0122317,0.001591514,0.9254711,0.02080388],"study_design_scores_gemma":[0.001142881,0.0001899023,0.07680689,0.0006012534,0.0008317896,0.00104437,0.0003980676,0.01085429,0.01093792,0.005900334,0.8910633,0.0002290803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007840093,0.0009657569,0.0002558831,0.0001635353,0.000059268,0.00001662657,0.9888197,0.001014048,0.0008651644],"genre_scores_gemma":[0.006942186,0.0002052096,0.0009352893,0.00006309718,0.000006935188,0.00005944215,0.9912949,0.00007765964,0.0004152225],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01596446,"threshold_uncertainty_score":0.03466755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824554271299747,"score_gpt":0.3105889954686762,"score_spread":0.2723434527556788,"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."}}