{"id":"W4398659370","doi":"10.7910/dvn/otl76y/lxjrw1","title":"MangerShadlenGSP-RTAs-ISQ.tab","year":2013,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.001573308,0.003351936,0.002063007,0.004279106,0.001078525,0.003738209,0.003729055,0.002281145,0.2395812],"category_scores_gemma":[0.007248654,0.001115117,0.002082155,0.00595329,0.0006575685,0.002341138,0.002679506,0.002147612,0.2346204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001776396,"about_ca_system_score_gemma":0.0025849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109147,"about_ca_topic_score_gemma":0.01683389,"domain_scores_codex":[0.998647,0.0001672693,0.0001404782,0.0004827156,0.0003251143,0.0002373663],"domain_scores_gemma":[0.9966936,0.001067399,0.000318568,0.001001238,0.0005745034,0.0003447594],"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":[0.00008588984,0.00001851944,0.0005580504,0.0006090848,0.00004103666,0.00001530868,0.00001859673,0.0002077614,0.0001881294,0.0005191823,0.9963446,0.00139378],"study_design_scores_gemma":[0.0003587951,0.00001891338,0.002353593,0.0001993208,0.00004791415,0.0000556461,0.00005366013,0.000663173,0.001166047,0.002448635,0.9925868,0.00004754835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007794987,0.00004684257,0.0001166714,0.00005108203,0.00002374373,0.000009670079,0.9969914,0.00213582,0.0005467733],"genre_scores_gemma":[0.000730032,0.00006668808,0.0005131961,0.00007093549,0.00001350318,0.00007863669,0.9968617,0.0009054196,0.000759806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2395812,"threshold_uncertainty_score":0.8014789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009610391204616304,"score_gpt":0.2437930918012214,"score_spread":0.2341827005966051,"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."}}