{"id":"W3203664557","doi":"10.14351/0831-4985-34.1.87","title":"Characterization of the JAR Sealants in the Fluid Collections of the Muséum National D'histoire Naturelle","year":2020,"lang":"en","type":"article","venue":"Collection Forum","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wax; Mass spectrometry; Fourier transform infrared spectroscopy; Composition (language); Gas chromatography; Pyrolysis; Chemistry; Characterization (materials science); Art; Chromatography; Polymer science; Chemical engineering; Materials science; Organic chemistry; Engineering; Nanotechnology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009403591,0.0004416142,0.0003866431,0.00305894,0.0009767555,0.0009433055,0.0002514978,0.0003785352,0.001739647],"category_scores_gemma":[0.0009133014,0.0001721998,0.0002954609,0.001356746,0.0007614808,0.0005931918,0.0006208802,0.000377706,0.0005403503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003786095,"about_ca_system_score_gemma":0.0007207862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003512832,"about_ca_topic_score_gemma":0.005751877,"domain_scores_codex":[0.9990208,0.0001192625,0.00006232602,0.0001928655,0.0004883782,0.0001163261],"domain_scores_gemma":[0.9995925,0.00005611495,0.0001063875,0.00002940638,0.0001755743,0.00004004782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002095112,0.00003148633,0.02634898,0.0003319209,0.00003026937,0.001000975,0.001782893,0.0001457063,0.947822,0.0003159451,0.0003135301,0.02166675],"study_design_scores_gemma":[0.00001031121,0.0008020937,0.3223359,0.0002307818,0.000138919,0.003953972,0.004475341,0.0007401226,0.6098192,0.0002385667,0.0571644,0.00009044554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863663,0.002108229,0.00653943,0.00008112883,0.00007298772,0.000158434,0.001610169,0.0001021184,0.002961258],"genre_scores_gemma":[0.9627013,0.002142908,0.02577257,0.0001295371,0.00005243978,0.0001630217,0.001561275,0.0001122279,0.007364671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003512832,"threshold_uncertainty_score":0.00698477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02386718454585741,"score_gpt":0.1967379347246097,"score_spread":0.1728707501787523,"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."}}