{"id":"W4415251246","doi":"10.1051/0004-6361/202555794","title":"Deep chemical tagging","year":2025,"lang":"en","type":"article","venue":"Astronomy and Astrophysics","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut sur la Nutrition et les Aliments Fonctionnels","keywords":"Stars; Chemical space; Chemical evolution; Kinematics; Similarity (geometry); Milky Way; Stellar kinematics; Chemical similarity","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003458198,0.0007674997,0.0005145462,0.001733402,0.0006315184,0.00115109,0.001428695,0.001358163,0.006474026],"category_scores_gemma":[0.00176357,0.0002471883,0.0006196636,0.001524193,0.0005609037,0.001560589,0.001302979,0.001112165,0.003369639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009634877,"about_ca_system_score_gemma":0.000869899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005532441,"about_ca_topic_score_gemma":0.01037006,"domain_scores_codex":[0.9996876,0.00003567661,0.0000146472,0.0001566783,0.00007103036,0.00003440052],"domain_scores_gemma":[0.9994001,0.0001511156,0.0001052286,0.0001591819,0.0001354141,0.0000489483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006560477,0.0003373327,0.03588229,0.001362493,0.0003709874,0.0009287134,0.0002792831,0.09997751,0.05687233,0.0747845,0.07000113,0.6585474],"study_design_scores_gemma":[0.00005964747,0.0001981369,0.01039261,0.0001830213,0.0003076041,0.0009250623,0.0002446785,0.63116,0.05909203,0.1397632,0.1576046,0.00006937398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1737151,0.009019655,0.7142604,0.003864096,0.001241499,0.0002943828,0.01832773,0.01270737,0.06656986],"genre_scores_gemma":[0.7949052,0.002876806,0.1544811,0.001449519,0.0003761555,0.0001115801,0.02174356,0.0005983301,0.02345772],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006474026,"threshold_uncertainty_score":0.02165776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006503481907367786,"score_gpt":0.2465284973048136,"score_spread":0.2400250153974458,"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."}}