{"id":"W4394396418","doi":"10.6084/m9.figshare.3846936.v1","title":"Lab 2 - BIOL 2050.csv","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Environmental Monitoring and Data Management","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002011663,0.00297982,0.001868148,0.003010007,0.001043175,0.003430207,0.004323264,0.002075481,0.2943421],"category_scores_gemma":[0.007448768,0.00108117,0.001587017,0.004816276,0.0006417399,0.002487782,0.00359765,0.001921255,0.4529274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165571,"about_ca_system_score_gemma":0.001887654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205231,"about_ca_topic_score_gemma":0.01846705,"domain_scores_codex":[0.9985964,0.0002868896,0.0001111913,0.0005143842,0.0002566683,0.0002345112],"domain_scores_gemma":[0.9972087,0.0006431116,0.0001849664,0.001134014,0.000430593,0.0003986799],"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":[0.00005073711,0.00001161871,0.0003910217,0.0002817743,0.00001500653,0.000007426561,0.00002011269,0.0001113996,0.0000712024,0.0003095279,0.9972003,0.001529956],"study_design_scores_gemma":[0.0002837394,0.00002286391,0.001683792,0.0001550189,0.0000162815,0.00002902032,0.00005805673,0.0003953894,0.0002752728,0.001826047,0.9952273,0.00002721967],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007388701,0.0000299377,0.000143049,0.00007502094,0.00003735805,0.00001426034,0.9956383,0.002641187,0.001347075],"genre_scores_gemma":[0.0004078277,0.00003418215,0.0004684136,0.0001018489,0.00001484636,0.0001168375,0.9970469,0.0007663324,0.001042851],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.705658,"threshold_uncertainty_score":0.9846723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276626669404165,"score_gpt":0.2203945634592645,"score_spread":0.192731896518848,"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."}}