{"id":"W6950164532","doi":"10.5281/zenodo.6000836","title":"Albibarbefferia albibarbis Macquart 1838","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State (computer science); Government (linguistics); Agency (philosophy); Period (music)","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":[0.0001290792,0.0007986039,0.000333708,0.002391146,0.001531382,0.0004527444,0.0007770775,0.0004033677,0.01554908],"category_scores_gemma":[0.0004395738,0.0001923463,0.0001566331,0.001189655,0.0005519468,0.0006305986,0.0006498889,0.0003609348,0.005195987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000901549,"about_ca_system_score_gemma":0.000284129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04717212,"about_ca_topic_score_gemma":0.1291033,"domain_scores_codex":[0.9998583,0.00001108672,0.00001460829,0.00004310913,0.00004945263,0.00002338833],"domain_scores_gemma":[0.9997329,0.00002621344,0.00009364109,0.00002188089,0.0001054279,0.00001981117],"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":[0.0004402454,0.00008038396,0.09734901,0.0006829035,0.0001143301,0.003855534,0.003192144,0.0003559637,0.0154818,0.002692374,0.08635197,0.7894033],"study_design_scores_gemma":[0.00002911079,0.00009985552,0.5538406,0.0004298084,0.0001042489,0.003948376,0.001274007,0.0001862379,0.001504501,0.0003809244,0.4381764,0.00002609688],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4724287,0.03002775,0.002117391,0.001210425,0.001098368,0.000468701,0.007926429,0.0007402625,0.483982],"genre_scores_gemma":[0.9175829,0.005968687,0.003935207,0.0007082139,0.000482322,0.0002259289,0.004275863,0.00007859137,0.06674227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04717212,"threshold_uncertainty_score":0.09379512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325469650325295,"score_gpt":0.2453615537147734,"score_spread":0.2221068572115205,"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."}}