{"id":"W6911836664","doi":"10.5281/zenodo.16095400","title":"Megalotachea undefined-2","year":2025,"lang":"fr","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Tyrrell Museum","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0000531322,0.0003133624,0.0002881187,0.001065447,0.0008381072,0.000254459,0.0004041587,0.0004501894,0.01728903],"category_scores_gemma":[0.0002252866,0.0001929858,0.0002476606,0.0005960751,0.0002871337,0.0005874383,0.0007139638,0.0004327567,0.006919375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001916353,"about_ca_system_score_gemma":0.0001740761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00243351,"about_ca_topic_score_gemma":0.004948868,"domain_scores_codex":[0.9998615,0.000006157685,0.000008793968,0.00006700183,0.00003016512,0.00002639835],"domain_scores_gemma":[0.9999001,0.0000208517,0.00001825721,0.00002307963,0.00001890478,0.00001874486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001321166,0.0002118019,0.035912,0.0007748536,0.00007228266,0.006886881,0.001899902,0.0004404736,0.5845301,0.002960692,0.01379203,0.351198],"study_design_scores_gemma":[0.000129198,0.0007955026,0.5257047,0.0004719854,0.0001932839,0.02953314,0.001879389,0.0006031269,0.05949752,0.001510499,0.3796131,0.00006849539],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7826251,0.00404264,0.006938651,0.0004823105,0.0003575319,0.0003565749,0.009601505,0.0005318638,0.1950637],"genre_scores_gemma":[0.9377265,0.0009701239,0.007657683,0.0002596034,0.00006923413,0.0001944024,0.008223945,0.00008007133,0.04481846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01728903,"threshold_uncertainty_score":0.05783749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04941263473260508,"score_gpt":0.2611884003254136,"score_spread":0.2117757655928085,"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."}}