{"id":"W6925076391","doi":"10.17617/3.6wbosz","title":"Injury-induced electrochemical coupling triggers regenerative cell proliferation - DATA","year":2025,"lang":"en","type":"dataset","venue":"Max Planck Digital Library","topic":"Psychology Research and Bibliometrics","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Coupling (piping); Regenerative medicine; Electrochemistry; Electrochemical cell; Cell growth","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":[0.001554599,0.002094154,0.001916012,0.002657901,0.001038471,0.002696026,0.002700623,0.003997555,0.06947123],"category_scores_gemma":[0.01007007,0.0006683663,0.002826873,0.003841602,0.0007382347,0.0009678021,0.001767306,0.002061685,0.05060677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001558518,"about_ca_system_score_gemma":0.003587896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01554194,"about_ca_topic_score_gemma":0.03843429,"domain_scores_codex":[0.9983063,0.0002543108,0.0002506125,0.0004130117,0.0004775833,0.0002981628],"domain_scores_gemma":[0.994763,0.002023172,0.0007183573,0.0009877578,0.000977567,0.0005301694],"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":[0.0006406193,0.0001800924,0.003123652,0.003875527,0.0001896064,0.000075062,0.00004679255,0.0006757823,0.0007557666,0.0006465461,0.9858825,0.003908136],"study_design_scores_gemma":[0.002849615,0.0002314547,0.0310121,0.001227765,0.0005136491,0.0002740245,0.0001762887,0.001072431,0.002807001,0.00409566,0.9556142,0.0001257346],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004493103,0.0001689089,0.00004252104,0.0001243029,0.00003861732,0.00002096168,0.9984661,0.0001289271,0.00056034],"genre_scores_gemma":[0.001365693,0.0001409179,0.0002330001,0.000144422,0.00001798149,0.0001655084,0.997009,0.00003694069,0.0008866425],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06947123,"threshold_uncertainty_score":0.2324044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05445922213740179,"score_gpt":0.3561011035497792,"score_spread":0.3016418814123774,"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."}}