{"id":"W4398380152","doi":"10.7910/dvn/n4risx/ibtsph","title":"F75_Baseline_data.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Baseline (sea); Computer science; Geography; Geology; Oceanography","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":[0.00235834,0.001774581,0.001777062,0.002940519,0.0008897324,0.002570043,0.003033298,0.002321816,0.3882066],"category_scores_gemma":[0.01349947,0.000907079,0.001215306,0.004289556,0.0004909409,0.001512479,0.001516556,0.001749039,0.2931725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002151655,"about_ca_system_score_gemma":0.00248555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022972,"about_ca_topic_score_gemma":0.03323694,"domain_scores_codex":[0.9985298,0.0002819354,0.0001646897,0.0004642609,0.0002565323,0.0003026797],"domain_scores_gemma":[0.9937305,0.002601134,0.0004924523,0.001315091,0.001410978,0.0004498265],"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":[0.00006154236,0.00001901255,0.0003448414,0.0002185665,0.00001406255,0.000005163848,0.00000664217,0.0000834877,0.00003112664,0.0001940788,0.9976622,0.0013593],"study_design_scores_gemma":[0.0007946899,0.00005535727,0.004561506,0.0002885766,0.00004773852,0.00004646034,0.00005934094,0.000338403,0.000358823,0.001927141,0.9914792,0.00004273703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005740644,0.00001977525,0.0000451026,0.00005307557,0.00002091792,0.00001495807,0.9990774,0.0002144749,0.0004968469],"genre_scores_gemma":[0.0005158246,0.00003180674,0.0002707358,0.0001379618,0.00002256559,0.0001831626,0.9965355,0.0001910797,0.002111313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6117934,"threshold_uncertainty_score":0.8726491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04518079991885456,"score_gpt":0.2234065589769429,"score_spread":0.1782257590580883,"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."}}