{"id":"W2788595710","doi":"10.17161/to.v0i0.7163","title":"Treatise Online no. 102: Part M, Chapter 11: Statoliths and coleoid evolution","year":2018,"lang":"en","type":"article","venue":"Treatise Online","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001070266,0.0002498452,0.0003107833,0.0001176985,0.0002761856,0.00003208584,0.0001317025,0.0001398321,0.001509314],"category_scores_gemma":[0.00004355333,0.0002006062,0.0000620911,0.0001462727,0.0005193697,0.0002497718,0.000003256017,0.0001237684,0.0001477602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004509062,"about_ca_system_score_gemma":0.00004844551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002570197,"about_ca_topic_score_gemma":0.1295332,"domain_scores_codex":[0.99864,0.00007404547,0.0003069642,0.0004045814,0.0001850182,0.0003893843],"domain_scores_gemma":[0.99918,0.0001020623,0.0001105179,0.0002591007,0.0001016722,0.000246666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001828177,0.0001329679,0.8064792,0.00001340064,0.0000470987,0.00004426704,0.0001645952,0.000002240338,0.00003857655,0.0002938897,0.0008757563,0.1917252],"study_design_scores_gemma":[0.0008616777,0.0006588411,0.9868683,0.00004289977,0.00005895042,0.00005202282,0.00005574508,0.003279804,0.00003557976,0.0005688384,0.007284959,0.0002323776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9612032,0.003966,0.00007766787,0.0004294642,0.0002870378,0.0002135995,0.002044903,0.00008132555,0.03169682],"genre_scores_gemma":[0.9938536,0.0003714723,0.00359801,0.0001176908,0.0005231137,0.000001731095,0.0004078441,0.000002933072,0.001123583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1914928,"threshold_uncertainty_score":0.9994034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785421450805724,"score_gpt":0.2422423612988223,"score_spread":0.2243881467907651,"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."}}