{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009331492,0.000079176,0.00007289968,0.00007556177,0.003264638,0.0001937602,0.0007482639,0.00001762903,0.3590822],"category_scores_gemma":[0.0001646978,0.00008684995,0.00003733899,0.0005951226,0.00009835437,0.0001134008,0.003497314,0.0002353917,0.009588611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001903863,"about_ca_system_score_gemma":6.823476e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005233676,"about_ca_topic_score_gemma":2.736951e-7,"domain_scores_codex":[0.9984803,0.0004302143,0.0001417341,0.0003157521,0.0003975204,0.0002344924],"domain_scores_gemma":[0.9994293,0.00001361952,0.00005408345,0.0003672925,0.00002335643,0.0001122751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005708318,0.0001513189,0.00004096752,0.000008377519,0.00001244127,0.00001621623,0.0004664143,0.001269019,0.01640582,0.001599626,0.5120407,0.467932],"study_design_scores_gemma":[0.0001898063,0.0001602026,0.001073316,6.763984e-7,0.000003442721,0.0001271865,0.0001295261,0.0007634565,0.0004363451,0.0002637488,0.9967452,0.0001070553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05473194,0.00001761051,0.00796152,0.0006340074,0.0001879348,0.0002959936,0.00009155383,0.0006999936,0.9353794],"genre_scores_gemma":[0.972308,0.00002952275,0.003981175,0.0008380942,0.0001452144,1.42624e-7,0.0005955804,0.001456713,0.02064549],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9175761,"threshold_uncertainty_score":0.998033,"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."}}