{"id":"W7079646051","doi":"10.5281/zenodo.17023247","title":"Laelius pedatus","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Czech; Nearctic ecozone; Distribution (mathematics); Period (music); Kingdom","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000121955,0.0005852735,0.0003150237,0.001884377,0.001426188,0.000528453,0.0004169758,0.0003491141,0.01461476],"category_scores_gemma":[0.000351016,0.0002141149,0.0001210416,0.0008700544,0.0006115326,0.0006633776,0.0009815244,0.0004780805,0.008101773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006233423,"about_ca_system_score_gemma":0.000353505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286153,"about_ca_topic_score_gemma":0.05435522,"domain_scores_codex":[0.9998771,0.00001113897,0.00001084281,0.00004407271,0.00003419396,0.00002266385],"domain_scores_gemma":[0.9998492,0.00003429702,0.00005712827,0.00001013123,0.00003308785,0.00001615561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001685149,0.0002171648,0.1569499,0.002461823,0.0001546006,0.002819017,0.002723328,0.001191058,0.03306038,0.004831021,0.05708317,0.7368234],"study_design_scores_gemma":[0.0001319288,0.0002875914,0.5611057,0.0007111005,0.0001714465,0.005403232,0.002229101,0.0006311553,0.004310232,0.001304285,0.4236624,0.00005192249],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5425542,0.01653721,0.005961054,0.0008194936,0.000668401,0.0004072054,0.01204734,0.001272257,0.419733],"genre_scores_gemma":[0.9347659,0.00405253,0.003957481,0.000609943,0.0001463287,0.0002604267,0.007918771,0.00005925611,0.04822934],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9853852,"threshold_uncertainty_score":0.04889125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531358075931073,"score_gpt":0.2290154967668329,"score_spread":0.2037019160075222,"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."}}