{"id":"W6931157229","doi":"10.5281/zenodo.5278059","title":"Idiomacromerus perplexus","year":2009,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nearctic ecozone; Period (music); Identification (biology); Term (time)","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":[0.0001301494,0.0007363991,0.0002950691,0.002141535,0.001502177,0.000398021,0.000595813,0.0005657994,0.009459356],"category_scores_gemma":[0.0003384879,0.0001710859,0.0001001642,0.001008494,0.0008118075,0.0007293556,0.001044266,0.000609345,0.002493861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009204955,"about_ca_system_score_gemma":0.0004775024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043818,"about_ca_topic_score_gemma":0.01735785,"domain_scores_codex":[0.9998326,0.0000198129,0.000009343486,0.0000759322,0.00003038054,0.00003196272],"domain_scores_gemma":[0.9998863,0.00002174283,0.00004121157,0.00001153705,0.00002593662,0.00001317609],"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":[0.001296652,0.0003674579,0.06068024,0.001082501,0.00008263031,0.007576324,0.00316056,0.002399217,0.07767039,0.03228568,0.03185605,0.7815422],"study_design_scores_gemma":[0.0002030212,0.0004559185,0.4056452,0.0004808791,0.000149334,0.02095682,0.002502492,0.002212054,0.01086676,0.007016378,0.5494047,0.0001064459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6960514,0.01018823,0.005324777,0.001166015,0.0007950796,0.0004915306,0.002798892,0.0004833203,0.2827008],"genre_scores_gemma":[0.9661039,0.002090905,0.005008726,0.0006222225,0.00012577,0.0001450038,0.0008935796,0.0000168665,0.02499307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01043818,"threshold_uncertainty_score":0.03164464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03561902268938198,"score_gpt":0.2941088855847565,"score_spread":0.2584898628953745,"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."}}