{"id":"W6893695057","doi":"10.5281/zenodo.3789218","title":"Cosymbiini Prout 1911","year":2010,"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":"University of Calgary; Canadian Food Inspection Agency; Royal Alberta Museum; Calgary Laboratory Services; Natural Resources Canada","funders":"","keywords":"Feature (linguistics); Product (mathematics); Focus (optics)","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":[0.000130404,0.001210071,0.0006087866,0.002178317,0.004626318,0.001162636,0.0006758213,0.001446386,0.1041336],"category_scores_gemma":[0.0007456238,0.0004179167,0.0002033921,0.001733659,0.001091528,0.001735991,0.001235464,0.001586133,0.03471408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001888766,"about_ca_system_score_gemma":0.001310519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02058426,"about_ca_topic_score_gemma":0.02561593,"domain_scores_codex":[0.9996043,0.00003276358,0.00001779194,0.0001535568,0.0001151626,0.00007661001],"domain_scores_gemma":[0.9998159,0.00003195006,0.00004412506,0.00002231954,0.00006177199,0.00002398711],"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":[0.0005502701,0.0001338923,0.008534365,0.000924869,0.00002849278,0.001369331,0.002152088,0.0004950967,0.01777679,0.03154463,0.1007346,0.8357556],"study_design_scores_gemma":[0.00001949521,0.00005441341,0.0133695,0.0001431482,0.00001444845,0.0007865921,0.0003191171,0.0001086347,0.0009572505,0.0007418118,0.9834748,0.00001084362],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03436826,0.01124483,0.003835574,0.0007533956,0.002806494,0.0005083074,0.002404445,0.0005577044,0.943521],"genre_scores_gemma":[0.5384851,0.01104015,0.006118113,0.001529451,0.001670887,0.0004850115,0.006916804,0.0002766632,0.4334778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1041336,"threshold_uncertainty_score":0.3483617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02212260377913606,"score_gpt":0.2513308586296492,"score_spread":0.2292082548505132,"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."}}