{"id":"W6968911241","doi":"10.5281/zenodo.3844964","title":"Cosmocomoidea atra, s.l.","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nearctic ecozone; Term (time); Context (archaeology)","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":[0.000201509,0.0007817008,0.0003487893,0.001816384,0.001465815,0.0004720105,0.0004887976,0.00053697,0.02539938],"category_scores_gemma":[0.0005996004,0.0002590992,0.0001881722,0.001256365,0.0007751095,0.001665039,0.001365561,0.0008917209,0.00931325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005850939,"about_ca_system_score_gemma":0.0003223907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006323643,"about_ca_topic_score_gemma":0.00935356,"domain_scores_codex":[0.999787,0.00002827234,0.00002094588,0.00008304776,0.00006413731,0.00001651759],"domain_scores_gemma":[0.9997758,0.00004548378,0.0000789864,0.00002400239,0.00004707071,0.00002860523],"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":[0.0004375276,0.0001339428,0.01353363,0.0009570427,0.00006636379,0.002483055,0.002778302,0.0007259207,0.05399065,0.00924194,0.04008796,0.8755637],"study_design_scores_gemma":[0.000147448,0.0002889406,0.1490986,0.0006362392,0.00009276142,0.009884012,0.002116092,0.0007463046,0.005098707,0.00558098,0.8262483,0.0000616878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.277279,0.03074604,0.01609548,0.002124441,0.001010249,0.0008615085,0.009170981,0.002117856,0.6605945],"genre_scores_gemma":[0.8697816,0.008695152,0.01344611,0.001873041,0.0003378562,0.0003564004,0.004581595,0.0001936373,0.1007347],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02539938,"threshold_uncertainty_score":0.0849694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0226013290527573,"score_gpt":0.2463940203587651,"score_spread":0.2237926913060078,"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."}}