{"id":"W6996092843","doi":"","title":"QUARTER OF A CENTRURY AT WAKE FOREST (sketch)","year":2017,"lang":"en","type":"article","venue":"WakeSpace (Wake Forest University)","topic":"American Environmental and Regional History","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Wake; Work (physics); Period (music)","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":[0.00006803665,0.0002238236,0.0002474643,0.00007607221,0.0007055919,0.0000110054,0.0007699467,0.0001075901,0.001900248],"category_scores_gemma":[0.00001328001,0.0002173019,0.0001711996,0.0001180026,0.003681199,0.0003878633,0.0006768832,0.0001344328,0.000923605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006172012,"about_ca_system_score_gemma":0.00001914697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001145448,"about_ca_topic_score_gemma":0.005918593,"domain_scores_codex":[0.9986331,0.00004048285,0.0001351119,0.0004247527,0.00037376,0.0003927279],"domain_scores_gemma":[0.9986604,0.00002887418,0.0003200954,0.0007454494,0.000006762712,0.0002384162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001850672,0.0002183235,0.9708566,0.00001704472,0.00004041399,0.00017702,0.0009038913,0.001346571,0.001782229,0.002470405,0.02123667,0.0007657762],"study_design_scores_gemma":[0.0006115689,0.0001261508,0.546078,0.00002002942,0.00003678872,0.00001243091,0.0009847925,0.0001223789,0.0001757036,0.000131437,0.4514357,0.0002649892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.872578,0.000027608,0.0001766149,0.0007966257,0.0001716246,0.0001798819,0.00002594487,0.00003401436,0.1260097],"genre_scores_gemma":[0.9141583,0.00006450121,0.0002568674,0.00007082952,0.00003555001,7.885837e-7,0.00001208681,0.00002063087,0.08538042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4301991,"threshold_uncertainty_score":0.9998543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005849910599679166,"score_gpt":0.1658998554675565,"score_spread":0.1600499448678773,"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."}}