{"id":"W6949234047","doi":"10.5281/zenodo.16044928","title":"Crocodylia Gmelin 1789","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Wood and Agarwood Research","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Object (grammar); Subject (documents); Sequence (biology); Position (finance)","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":[0.0001585246,0.0003612384,0.0002391545,0.001418141,0.001468855,0.0003362074,0.0003484368,0.0005118001,0.009997644],"category_scores_gemma":[0.0003445275,0.0001388552,0.0001684596,0.0008045462,0.0007198389,0.0003187408,0.0007695041,0.0003717882,0.002502726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009610073,"about_ca_system_score_gemma":0.0007863115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05956781,"about_ca_topic_score_gemma":0.1667231,"domain_scores_codex":[0.9998056,0.00001072214,0.000009666203,0.00006426212,0.00007417172,0.00003564875],"domain_scores_gemma":[0.9998764,0.0000121777,0.0000407472,0.0000132843,0.00003539793,0.00002199451],"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":[0.0008369454,0.0001094499,0.3421117,0.0009980194,0.00009956333,0.005157454,0.005279618,0.0007956286,0.1188767,0.002125285,0.01554732,0.5080622],"study_design_scores_gemma":[0.00002514592,0.0002608408,0.8800159,0.000319687,0.00004308762,0.003790834,0.003001611,0.0002125176,0.002624248,0.0002605648,0.1094192,0.00002642029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8935688,0.002130055,0.001244999,0.0004884031,0.0002669948,0.0001497912,0.00213534,0.0001296816,0.09988592],"genre_scores_gemma":[0.9572355,0.001028343,0.003104015,0.0005714325,0.00006338245,0.00006208969,0.001869915,0.00002490685,0.03604048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05956781,"threshold_uncertainty_score":0.1184422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567431912942833,"score_gpt":0.2674038820064059,"score_spread":0.2417295628769775,"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."}}