{"id":"W6977445149","doi":"10.6084/m9.figshare.21375534.v3","title":"BIOL3250 -- BIOBLITZ (DATA & METADATA FOR FIELD EXPERIMENT).xlsx","year":2022,"lang":"en","type":"dataset","venue":"INDIGO (University of Illinois at Chicago)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metadata; Species richness; Field (mathematics); Tracking (education); Diversity (politics); Biodiversity","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":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001187556,0.0009467713,0.001604883,0.001303224,0.001438892,0.0001125395,0.009391328,0.0009643552,0.07294486],"category_scores_gemma":[0.0004304882,0.001200415,0.0006993483,0.001111126,0.0005665037,0.001178844,0.01048399,0.001190096,0.001546953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007670442,"about_ca_system_score_gemma":0.0005765525,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001826,"about_ca_topic_score_gemma":0.01536407,"domain_scores_codex":[0.9942029,0.0003661911,0.0006691474,0.002348592,0.00135661,0.001056588],"domain_scores_gemma":[0.9895392,0.0008100096,0.001575564,0.007412189,0.0002413144,0.0004217233],"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":[0.0009272398,0.0006839837,0.00002041735,0.0003163884,0.001125119,0.0000725046,0.0004789245,0.000005529465,0.0008401152,0.00004507414,0.9951937,0.0002910653],"study_design_scores_gemma":[0.002489228,0.0003272945,0.00002305596,0.00007154798,0.001149733,0.00002467789,0.001005805,0.00001706646,0.0004881429,0.00004586898,0.9931546,0.001202955],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002322583,0.001434018,0.0001999585,0.0005737087,0.000802648,0.001602485,0.9927146,0.0001776205,0.0001723664],"genre_scores_gemma":[0.00008247751,0.000943654,0.002340962,0.0002357401,0.0001942395,0.000008340483,0.99212,0.0001397332,0.003934904],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07139791,"threshold_uncertainty_score":0.9998611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06946127424782897,"score_gpt":0.2891474186417046,"score_spread":0.2196861443938756,"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."}}