{"id":"W6949309332","doi":"10.5281/zenodo.15277552","title":"Mantodea","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fossil Insects in Amber","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Espace pour la vie","funders":"","keywords":"Citizen science; Mantis; Scarcity; Bureaucracy; Biodiversity; Threatened species; Economic shortage; Diversity (politics); Resource (disambiguation)","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":[0.0005964351,0.0006276988,0.0005403141,0.001242803,0.002394824,0.003102007,0.0008341292,0.001620338,0.03381707],"category_scores_gemma":[0.001547364,0.0002667537,0.0004389782,0.001083236,0.001705075,0.002784712,0.003379012,0.001739673,0.009928498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009602939,"about_ca_system_score_gemma":0.0007672796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003723712,"about_ca_topic_score_gemma":0.007817168,"domain_scores_codex":[0.9993179,0.0001208952,0.00003515155,0.0002419584,0.0001829754,0.0001011721],"domain_scores_gemma":[0.999673,0.00008904427,0.0000680936,0.00004267121,0.00007044115,0.00005685435],"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":[0.0003832628,0.0002108075,0.01689836,0.001785233,0.00008331674,0.002879152,0.007421441,0.0003917792,0.02165955,0.1100525,0.06239811,0.7758365],"study_design_scores_gemma":[0.00001837255,0.0001607689,0.02126163,0.0005991933,0.00006352802,0.002751797,0.001959082,0.0002963073,0.001426768,0.01474711,0.9566821,0.00003337211],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1137598,0.03211822,0.01895132,0.01003158,0.002351221,0.0004045037,0.002988692,0.001351819,0.8180428],"genre_scores_gemma":[0.6795928,0.01872407,0.03043926,0.009402223,0.0007063739,0.0005184395,0.00439314,0.0003156109,0.2559081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03381707,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03002937255912692,"score_gpt":0.2346079714924126,"score_spread":0.2045785989332857,"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."}}