{"id":"W7093294535","doi":"10.5281/zenodo.17424833","title":"Phyllium Illiger 1798","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie","funders":"","keywords":"Natural (archaeology); Type (biology); Sequence (biology); Subject (documents)","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":[0.0001313246,0.0004594673,0.0002860092,0.00145455,0.001165518,0.0003496835,0.0005831218,0.0007958899,0.009385547],"category_scores_gemma":[0.0004259258,0.0001803378,0.000145164,0.0007287741,0.0004623089,0.001063496,0.001096863,0.00059023,0.00427102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008331288,"about_ca_system_score_gemma":0.0002274954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005644868,"about_ca_topic_score_gemma":0.006487387,"domain_scores_codex":[0.9998916,0.000008048982,0.000008432044,0.00003827845,0.00002687778,0.00002669388],"domain_scores_gemma":[0.9998808,0.00002345439,0.00005010311,0.00001089524,0.00002032222,0.00001455859],"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":[0.001143829,0.000157159,0.04739782,0.001373056,0.0001041032,0.003433497,0.002014708,0.001184008,0.1966044,0.01284102,0.07165971,0.6620867],"study_design_scores_gemma":[0.0001537316,0.0003966982,0.283868,0.0005913734,0.0001545212,0.005484203,0.0008989136,0.0006338073,0.01002976,0.002679873,0.6950631,0.00004596246],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4824066,0.02168098,0.009756223,0.002514092,0.001059369,0.0003287022,0.009493153,0.00171299,0.4710479],"genre_scores_gemma":[0.9416897,0.003745457,0.003461863,0.001705247,0.0001903806,0.0001683542,0.003929887,0.0001168005,0.04499226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009385547,"threshold_uncertainty_score":0.03139782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0453343932041289,"score_gpt":0.2996346672647685,"score_spread":0.2543002740606395,"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."}}