{"id":"W6911969742","doi":"10.5281/zenodo.15652826","title":"Dieffenbachia","year":2000,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Espace pour la vie","funders":"","keywords":"Inflorescence; Qualitative analysis; Donkey","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":[0.0001186534,0.000380911,0.0003616249,0.000780707,0.0007413133,0.000512644,0.0002125981,0.0003183702,0.007164532],"category_scores_gemma":[0.0002480872,0.0002128305,0.0002318583,0.0004582264,0.0002797441,0.0004212194,0.0005525719,0.0004908246,0.00171844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009762616,"about_ca_system_score_gemma":0.0002717258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03065987,"about_ca_topic_score_gemma":0.0578579,"domain_scores_codex":[0.9998654,0.000009042885,0.000006841419,0.0000591053,0.00002954795,0.0000300889],"domain_scores_gemma":[0.9998586,0.00002702677,0.00002229909,0.00001929785,0.00004955619,0.00002317939],"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":[0.0004504402,0.00008448102,0.04394903,0.0003985455,0.00007972054,0.000889981,0.001023825,0.0004582723,0.8676839,0.001332766,0.00125626,0.08239274],"study_design_scores_gemma":[0.00002967212,0.0001975965,0.859078,0.00008896252,0.0000581514,0.001768147,0.0005239272,0.0004657903,0.04031848,0.0005588589,0.09687462,0.00003782497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9287919,0.005382631,0.002599082,0.0002990934,0.0001065131,0.00008644569,0.002445646,0.000189021,0.06009959],"genre_scores_gemma":[0.947482,0.001251078,0.003312412,0.000474296,0.00002331403,0.00008988561,0.002749883,0.00003824822,0.0445789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03065987,"threshold_uncertainty_score":0.0609628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01728922750963011,"score_gpt":0.2140883280235426,"score_spread":0.1967991005139124,"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."}}