{"id":"W6930740421","doi":"10.5281/zenodo.16095558","title":"Lagopsis penai Royo 1928","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Slime Mold and Myxomycetes Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Work (physics); Product (mathematics); State (computer science); Government (linguistics)","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":[0.0001259768,0.0009117654,0.0003153398,0.001253684,0.001529499,0.0005968317,0.0004660508,0.0005611703,0.02268814],"category_scores_gemma":[0.0004249448,0.0002646773,0.0001623516,0.0009807649,0.0005206492,0.0008773261,0.001003208,0.0008831258,0.007376379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00085276,"about_ca_system_score_gemma":0.0005477502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205605,"about_ca_topic_score_gemma":0.01070854,"domain_scores_codex":[0.9998482,0.00002128718,0.00001436923,0.00004786885,0.00003519366,0.00003302354],"domain_scores_gemma":[0.9998839,0.00002976753,0.00002804731,0.00001260672,0.00002547123,0.00002016801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001201792,0.0001339757,0.01900063,0.001836226,0.00005888892,0.01086277,0.002312311,0.001529419,0.1166298,0.01665042,0.05600518,0.7737785],"study_design_scores_gemma":[0.0001472524,0.0002812838,0.0689463,0.000534035,0.0000586208,0.007168518,0.001652198,0.0003110381,0.006195668,0.002789939,0.911868,0.00004723369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2524751,0.04360682,0.009001421,0.001773039,0.002555566,0.0008473966,0.009892007,0.001107563,0.6787412],"genre_scores_gemma":[0.8377897,0.01030109,0.005848103,0.001729141,0.0003422423,0.0003163537,0.006124415,0.00009999802,0.137449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02268814,"threshold_uncertainty_score":0.07589942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02269476698718163,"score_gpt":0.2452355582271526,"score_spread":0.222540791239971,"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."}}