{"id":"W3018783050","doi":"10.12688/f1000research.21989.1","title":"Novel innovations in cell and gene therapies for spinal cord injury","year":2020,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Nerve injury and regeneration","field":"Neuroscience","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital; University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research","keywords":"Spinal cord injury; Neuroscience; Regeneration (biology); Spinal cord; Medicine; Neuroprotection; Neural stem cell; Biology; Stem cell; Bioinformatics; Cell biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004503918,0.0001841594,0.0002175868,0.0003509439,0.0001921603,0.0001897828,0.0004239995,0.00019454,0.00002746085],"category_scores_gemma":[0.0003864043,0.0001718002,0.00005187303,0.0005056307,0.0002030708,0.0001009931,0.0006662162,0.0007635131,0.00001439075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005249782,"about_ca_system_score_gemma":0.0002780415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006031368,"about_ca_topic_score_gemma":0.0000229158,"domain_scores_codex":[0.9981657,0.000126422,0.0003213839,0.0006858053,0.0003773432,0.0003232903],"domain_scores_gemma":[0.9992144,0.0001820557,0.00008836803,0.0003018585,0.0001313487,0.00008196175],"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":[0.000652009,0.0001084441,0.0001121574,0.0002049373,0.000003483029,0.000005280845,0.000107936,0.00002867996,0.983605,0.006507755,0.001382153,0.007282199],"study_design_scores_gemma":[0.0004585877,0.0007746309,0.001741928,0.00004864745,0.000004497005,0.00000380424,0.00003074883,0.002799729,0.9790175,0.008179847,0.006707054,0.0002330026],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762177,0.0003826589,0.01083957,0.008827571,0.0005033247,0.001925186,0.0006367539,0.00007530435,0.0005918895],"genre_scores_gemma":[0.9930561,0.0003015442,0.004129214,0.0005626265,0.0003918195,0.000458935,0.00006915018,0.00004075425,0.000989888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01683833,"threshold_uncertainty_score":0.7005811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2207180989964637,"score_gpt":0.4258048634505904,"score_spread":0.2050867644541267,"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."}}