{"id":"W6893917966","doi":"10.5281/zenodo.5062784","title":"Acrorrhinium Noualhier 1895","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Parasite Biology and Host Interactions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Product (mathematics); Selection (genetic algorithm); Identification (biology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001288014,0.0005826826,0.00020229,0.0007596778,0.0008242477,0.0003612562,0.000289477,0.0003375499,0.01047235],"category_scores_gemma":[0.0004707028,0.0001329202,0.00009365467,0.0005157539,0.0002997875,0.0008186939,0.0006616671,0.0003130984,0.002113508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004203614,"about_ca_system_score_gemma":0.0003430154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005637253,"about_ca_topic_score_gemma":0.007680197,"domain_scores_codex":[0.999792,0.00003604269,0.00002099809,0.00004811302,0.00006607766,0.00003684579],"domain_scores_gemma":[0.9998438,0.00003673441,0.0000545163,0.00001224807,0.00003325191,0.00001945174],"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":[0.0006559459,0.0002196887,0.03812787,0.001880197,0.00008564968,0.0050612,0.002270545,0.001370662,0.07832222,0.009117661,0.01894207,0.8439463],"study_design_scores_gemma":[0.000110522,0.000499094,0.2921086,0.0004679397,0.0001123368,0.006939991,0.001662418,0.0006594996,0.007313312,0.001908459,0.6881776,0.00004026587],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4615833,0.03465766,0.006143493,0.0008754536,0.001303542,0.0005448873,0.002858479,0.0005749529,0.4914582],"genre_scores_gemma":[0.9641784,0.005617114,0.002488933,0.0002333637,0.0002268839,0.00007469858,0.0008348705,0.00001505293,0.02633061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01047235,"threshold_uncertainty_score":0.03503352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199591904668594,"score_gpt":0.2791252243735725,"score_spread":0.2591660339067131,"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."}}