{"id":"W6912513893","doi":"10.5281/zenodo.6017316","title":"Exechonella antillea","year":2017,"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":"Table (database); Pottery; Square (algebra); Body orifice","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":[0.0006778652,0.00008773604,0.00008474505,0.00004642526,0.004557299,0.000842,0.001048852,0.00004054133,0.1036552],"category_scores_gemma":[0.0005417284,0.0000863083,0.00003894904,0.0001145916,0.0002445079,0.0002674258,0.00211818,0.0001519108,0.02387462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007451209,"about_ca_system_score_gemma":4.624174e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008485663,"about_ca_topic_score_gemma":8.442552e-7,"domain_scores_codex":[0.9989194,0.0001518463,0.0001278149,0.0003092382,0.0002541024,0.0002375505],"domain_scores_gemma":[0.9989944,0.000009000885,0.0000998036,0.0007178001,0.00003953032,0.0001394602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004198752,0.00008982575,0.0002270541,0.00001234771,0.00001184965,0.00001550782,0.0002645389,0.00008343341,0.02076428,0.0009052678,0.2108637,0.7667202],"study_design_scores_gemma":[0.0002225472,0.00007348361,0.01692026,0.000003709554,0.000003479809,0.00004632119,0.00003296956,0.0004659476,0.001165831,0.0002891401,0.9806648,0.0001114738],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06688953,0.000006152877,0.006942758,0.0004774296,0.0001366114,0.000174399,0.00001760846,0.0003812986,0.9249742],"genre_scores_gemma":[0.9858878,0.00004701331,0.002481368,0.0001275515,0.0001190188,1.693078e-8,0.00005067294,0.0006365203,0.01065004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9189982,"threshold_uncertainty_score":0.9967386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044790919717865,"score_gpt":0.2766483302184244,"score_spread":0.2362004210212457,"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."}}