{"id":"W7088508762","doi":"10.5281/zenodo.17327312","title":"Calosoma (Calosoma) scrutator","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Mesenchymal stem cell research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Natural (archaeology); Product (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008112902,0.0006792587,0.0002408361,0.002478553,0.001784151,0.0004127342,0.0005115279,0.0005446832,0.01628062],"category_scores_gemma":[0.000268742,0.000197148,0.000220469,0.001423303,0.0009775679,0.0006413586,0.0006970452,0.0006231756,0.004984485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001391014,"about_ca_system_score_gemma":0.0007758611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04632089,"about_ca_topic_score_gemma":0.1173476,"domain_scores_codex":[0.9998472,0.0000100539,0.00001223716,0.00004184742,0.0000528401,0.00003585727],"domain_scores_gemma":[0.9998257,0.00002109504,0.00006641346,0.0000109618,0.00005423994,0.0000217017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005797228,0.00009136282,0.05937773,0.001765968,0.00007965852,0.004804525,0.003795751,0.0009837203,0.02932333,0.01005569,0.05503426,0.8341083],"study_design_scores_gemma":[0.00009686792,0.0003684553,0.3318002,0.001006142,0.0001716606,0.008439954,0.003924842,0.0005924673,0.008293292,0.002205926,0.6430404,0.00005987167],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2372355,0.0210601,0.003378052,0.001324353,0.001653357,0.0005938754,0.01023658,0.0004831157,0.7240351],"genre_scores_gemma":[0.9386696,0.005472006,0.003947443,0.0005383058,0.0002248907,0.0001882201,0.004707153,0.00003910759,0.0462131],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04632089,"threshold_uncertainty_score":0.09210253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03839459830546055,"score_gpt":0.2926696200353107,"score_spread":0.2542750217298501,"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."}}