{"id":"W6969073227","doi":"10.5281/zenodo.8119585","title":"Motile cilia interactome data","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Cilium; Tetrahymena; Interactome; Motile cilium; Intraflagellar transport","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":[0.0009593926,0.002402981,0.001795463,0.00560876,0.002790714,0.002204839,0.002286643,0.002638079,0.1695059],"category_scores_gemma":[0.002673536,0.0009410151,0.001389069,0.005296737,0.000570723,0.001682354,0.002294369,0.0027906,0.08393449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307538,"about_ca_system_score_gemma":0.002545603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005981274,"about_ca_topic_score_gemma":0.01073716,"domain_scores_codex":[0.9988771,0.00007343612,0.000102531,0.0002378557,0.0004971133,0.0002119642],"domain_scores_gemma":[0.9987571,0.0003858412,0.0001303609,0.0002549659,0.0002088576,0.0002628665],"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":[0.001882031,0.0001702456,0.002614968,0.005167293,0.0002619552,0.0006951386,0.0003252439,0.0009463929,0.1222503,0.007283753,0.8448099,0.01359271],"study_design_scores_gemma":[0.0007350629,0.0001320547,0.01672824,0.0004362756,0.0002630959,0.0008058701,0.0001325805,0.003147893,0.03538983,0.00548436,0.9366111,0.0001337331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001819449,0.0002312653,0.00118715,0.0001862121,0.0001032831,0.00005052362,0.989531,0.002465966,0.004425067],"genre_scores_gemma":[0.004739163,0.0002262863,0.002290794,0.0001377308,0.00001762187,0.0001765309,0.9894546,0.0007382681,0.002219043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1695059,"threshold_uncertainty_score":0.5670537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.067737947599644,"score_gpt":0.2753276399681999,"score_spread":0.2075896923685559,"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."}}