{"id":"W6902031749","doi":"10.6084/m9.figshare.20483595.v3","title":"File 4. OMZ Compendium Contact Information By Plate","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Compendium; Key (lock); Information system; Troubleshooting","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":[0.001684623,0.001612165,0.001836906,0.00566317,0.001466238,0.005922852,0.002672552,0.001637494,0.9377308],"category_scores_gemma":[0.01776232,0.001378688,0.001176653,0.008801957,0.0006033763,0.004520865,0.003417058,0.001530719,0.8453056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001956256,"about_ca_system_score_gemma":0.002244042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01057297,"about_ca_topic_score_gemma":0.009188735,"domain_scores_codex":[0.998903,0.0001229392,0.0001115736,0.0002053188,0.0004553637,0.0002017077],"domain_scores_gemma":[0.9916488,0.003225051,0.0004302996,0.001357736,0.002740347,0.000597794],"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":[0.00002780313,0.000005201111,0.00005415451,0.0001713988,0.000002784775,0.000008300191,0.00001008828,0.00002295002,0.00003016435,0.0003256371,0.9965177,0.002823929],"study_design_scores_gemma":[0.0001356061,0.0000104398,0.0009237002,0.0002516002,0.000008003497,0.0000261289,0.00004567025,0.0000467619,0.0001931552,0.001419445,0.9969168,0.00002267425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00009010945,0.00006381751,0.0004574977,0.0004024208,0.0004417031,0.00009329926,0.9470105,0.004825065,0.04661563],"genre_scores_gemma":[0.001927417,0.0003301308,0.002320833,0.000836248,0.000459154,0.0006163811,0.8597541,0.01611124,0.1176445],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06226915,"threshold_uncertainty_score":0.08881938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05328539124882435,"score_gpt":0.2003339120729679,"score_spread":0.1470485208241435,"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."}}