{"id":"W4394237330","doi":"10.6084/m9.figshare.4123335","title":"BIO205 2016 Tut0103 Census 1 Data.xlsx","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Geography; Demography; Sociology; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.001301361,0.001740606,0.001427428,0.003708875,0.0007288057,0.002644585,0.00236992,0.001454983,0.1531215],"category_scores_gemma":[0.00767804,0.000935672,0.001107369,0.007438505,0.0004265375,0.001143793,0.001808713,0.001600414,0.128742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606533,"about_ca_system_score_gemma":0.003695078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05002508,"about_ca_topic_score_gemma":0.06712193,"domain_scores_codex":[0.9992112,0.0001192068,0.0001275395,0.000229528,0.0001701176,0.0001423593],"domain_scores_gemma":[0.9969818,0.0008275991,0.0003633588,0.0006785674,0.0007626938,0.0003860622],"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":[0.00005639995,0.00001150791,0.00105202,0.000513171,0.00003026075,0.00001407295,0.00001965755,0.00026456,0.0000922084,0.0003770903,0.9964128,0.001156319],"study_design_scores_gemma":[0.0003245069,0.00001395618,0.005982623,0.0002627202,0.00003407469,0.00003780086,0.00008235424,0.000308845,0.0002666614,0.001118146,0.9915363,0.0000320682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004141094,0.00001105758,0.00002644382,0.00002410734,0.000008522451,0.000003500347,0.9995818,0.0001151169,0.0001880247],"genre_scores_gemma":[0.0003215878,0.00003021426,0.0001435528,0.00002984187,0.00000793454,0.00005145322,0.9988091,0.0001075077,0.0004988516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1531215,"threshold_uncertainty_score":0.5122425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06844147932736001,"score_gpt":0.2859430058274355,"score_spread":0.2175015265000755,"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."}}