{"id":"W4398569924","doi":"10.7910/dvn/pq0wuv/7pkszp","title":"Chen_Smith_Data_7.xls","year":2012,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Chen; Art; Computer science; Biology; Paleontology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001467044,0.001747996,0.001408838,0.004118753,0.001191383,0.002642129,0.002670701,0.00144522,0.3340549],"category_scores_gemma":[0.01027632,0.0008588392,0.001107355,0.007117279,0.0006438939,0.001760032,0.002487584,0.001671674,0.2518829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735772,"about_ca_system_score_gemma":0.003809469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01757057,"about_ca_topic_score_gemma":0.03035145,"domain_scores_codex":[0.9987568,0.0001507351,0.0001576171,0.0003604448,0.0003206945,0.0002536641],"domain_scores_gemma":[0.9947242,0.001476554,0.0003976241,0.001342525,0.001557735,0.0005012882],"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":[0.00004018689,0.00001344676,0.0004463386,0.0002248152,0.00001453625,0.000006890547,0.00001198945,0.00009142495,0.00009560451,0.0002876769,0.997526,0.001241214],"study_design_scores_gemma":[0.0002422176,0.00001877535,0.002684823,0.0001314417,0.00002774861,0.0000367008,0.00007811409,0.0002486323,0.00096775,0.001205094,0.994323,0.0000356908],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009132973,0.00001579648,0.00006658112,0.00005327221,0.00001933258,0.00001298896,0.9985618,0.0004130478,0.0007658812],"genre_scores_gemma":[0.0006316832,0.00002948259,0.0003849021,0.00008327156,0.00001481255,0.0001280248,0.9963357,0.0003310282,0.002061079],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6659451,"threshold_uncertainty_score":0.9498899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326247884573951,"score_gpt":0.2641867679739275,"score_spread":0.240924289128188,"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."}}