{"id":"W6968918349","doi":"10.5281/zenodo.7628954","title":"Mixtoscutella ovata","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Population; Ridiculous","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":[0.00005509132,0.0005425789,0.0001535776,0.0006920265,0.0007952956,0.0003923347,0.0002682919,0.0003128648,0.008524846],"category_scores_gemma":[0.0002214409,0.0001674963,0.0001238756,0.0004068433,0.0002957447,0.0007355879,0.00117263,0.0003747835,0.001826817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003364668,"about_ca_system_score_gemma":0.0002210612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002279257,"about_ca_topic_score_gemma":0.007461336,"domain_scores_codex":[0.9999063,0.000006744408,0.000006782244,0.00003269993,0.00003109356,0.0000163805],"domain_scores_gemma":[0.9999347,0.000007522214,0.000023265,0.000006427106,0.00001614519,0.0000120776],"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":[0.0004896076,0.00006502862,0.04402637,0.001647985,0.00008091352,0.002315469,0.001732016,0.001058511,0.2091493,0.01501143,0.01731603,0.7071074],"study_design_scores_gemma":[0.00005535727,0.0002335164,0.2308395,0.0005515084,0.00007074174,0.006013768,0.001118202,0.000504543,0.01100251,0.003344293,0.7462212,0.00004486874],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6462672,0.01685675,0.005498168,0.0005432736,0.0005099443,0.0002018311,0.002428279,0.0005427962,0.3271518],"genre_scores_gemma":[0.9516409,0.002739383,0.004136395,0.000483401,0.0001184871,0.00009702713,0.001553003,0.00006487151,0.03916661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008524846,"threshold_uncertainty_score":0.02851844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03107366861840709,"score_gpt":0.2485045116296774,"score_spread":0.2174308430112704,"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."}}