{"id":"W2895486774","doi":"10.12688/f1000research.16473.2","title":"Using zebrafish larval models to study brain injury, locomotor and neuroinflammatory outcomes following intracerebral haemorrhage","year":2018,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Intracerebral and Subarachnoid Hemorrhage Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Medical Research Council; Bundesministerium für Bildung und Forschung; British Heart Foundation; University of Manchester; Stroke Association; National Centre for the Replacement, Refinement and Reduction of Animals in Research; University of Calgary","keywords":"Open peer review; Plant biology; Medicine; Zebrafish; Neuroscience; Intracerebral hemorrhage; Neuroinflammation; Biology; Inflammation; Anesthesia; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004250246,0.0009973862,0.001876012,0.001510527,0.000720344,0.0006756057,0.001206835,0.0007677229,0.0006389237],"category_scores_gemma":[0.001323133,0.0008860754,0.0005695917,0.0007421487,0.000399206,0.000403304,0.006553447,0.004126091,0.0002811744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005969627,"about_ca_system_score_gemma":0.001326242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001151831,"about_ca_topic_score_gemma":0.0001138863,"domain_scores_codex":[0.9903154,0.001045253,0.001180221,0.002097357,0.00327859,0.002083149],"domain_scores_gemma":[0.99492,0.0004778236,0.0001698954,0.002117561,0.0007277824,0.001586899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005022982,0.006095488,0.7975055,0.006192955,0.003740427,0.02154266,0.01756971,0.0006714335,0.02967452,0.0004757811,0.01941367,0.09209485],"study_design_scores_gemma":[0.01109441,0.007312675,0.170678,0.001618333,0.001116022,0.0005284825,0.005183871,0.7827606,0.008900406,0.006311088,0.0005043161,0.003991829],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832948,0.0002372745,0.001118984,0.004511252,0.000716121,0.008662814,0.0001336619,0.0003605755,0.0009644658],"genre_scores_gemma":[0.9784195,0.00001356771,0.01525116,0.0008608158,0.00104146,0.0004350011,0.00006453635,0.0003461902,0.003567715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7820891,"threshold_uncertainty_score":0.999359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1189164933197111,"score_gpt":0.4036771551352022,"score_spread":0.2847606618154911,"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."}}