{"id":"W6949576349","doi":"10.5281/zenodo.16100789","title":"Melanopsis glandicula Sandberger 1872","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Position (finance); Terminal (telecommunication); Work (physics); Context (archaeology)","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":[0.00006013217,0.0004251412,0.0002018756,0.0009374428,0.001071845,0.0003141928,0.0002332277,0.0004246937,0.006147801],"category_scores_gemma":[0.0002129036,0.0001668937,0.0001194609,0.0006045889,0.0004024503,0.0005650262,0.0005391429,0.0004028829,0.002306778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007170666,"about_ca_system_score_gemma":0.0002702989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01207695,"about_ca_topic_score_gemma":0.02412276,"domain_scores_codex":[0.9999274,0.00000778991,0.000004995503,0.00002596228,0.0000219357,0.00001189251],"domain_scores_gemma":[0.9999429,0.00001443786,0.00001952472,0.00000555202,0.000009264169,0.000008279588],"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":[0.0009406363,0.00009578544,0.05031033,0.001014599,0.0001298129,0.008978641,0.003362302,0.002351176,0.3251899,0.00756736,0.02995206,0.5701074],"study_design_scores_gemma":[0.00009283232,0.0001788515,0.4123526,0.0003490789,0.0001428869,0.01422933,0.001822751,0.0006920217,0.02091278,0.002477285,0.5466833,0.00006627988],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6740905,0.01572771,0.004962947,0.001100886,0.0006205633,0.0002833397,0.00544991,0.000770175,0.296994],"genre_scores_gemma":[0.9536686,0.003058145,0.00239327,0.000340079,0.0001126234,0.00008577799,0.001591267,0.00003960798,0.0387106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01207695,"threshold_uncertainty_score":0.02401328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02482689261257777,"score_gpt":0.2600347842812368,"score_spread":0.2352078916686591,"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."}}