{"id":"W7114928803","doi":"10.5281/zenodo.17893792","title":"Paramyia nitens","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Diptera species taxonomy and behavior","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eucalyptus nitens; Yield (engineering); Statistical analysis; Column (typography)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008774339,0.0003127994,0.0001702324,0.0006401266,0.0007323544,0.0002600657,0.0003776674,0.0002910494,0.009113948],"category_scores_gemma":[0.0002301402,0.0001098728,0.0001051536,0.0002888525,0.0002960725,0.0005271587,0.0007632995,0.0003914041,0.00247782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004277432,"about_ca_system_score_gemma":0.0001730874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00398691,"about_ca_topic_score_gemma":0.01136145,"domain_scores_codex":[0.9999402,0.000006526256,0.000004326306,0.00002361582,0.00001525056,0.00001012406],"domain_scores_gemma":[0.9999458,0.0000139567,0.00001827886,0.000005659143,0.000008560891,0.000007791264],"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":[0.0008080438,0.0001938943,0.0545513,0.001466523,0.00006834442,0.004488287,0.002227639,0.001240809,0.1586502,0.01379062,0.02202643,0.7404879],"study_design_scores_gemma":[0.0001302664,0.0005188133,0.4610666,0.0008171939,0.0001325759,0.01878014,0.001554295,0.001473067,0.01563388,0.006146427,0.493691,0.0000558029],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6338295,0.0141063,0.007232894,0.001116686,0.0002892778,0.0003569799,0.005469089,0.0005447809,0.3370544],"genre_scores_gemma":[0.9677546,0.00218492,0.003405521,0.000521971,0.00006727449,0.0001069772,0.001519119,0.00001689205,0.02442284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009113948,"threshold_uncertainty_score":0.03048915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04448312464230758,"score_gpt":0.2414631145216536,"score_spread":0.196979989879346,"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."}}