{"id":"W4398525940","doi":"10.7910/dvn/28075/wnobvv","title":"events.1995.20150313082510.tab.zip","year":2015,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Cardiovascular Effects of Exercise","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Geography","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":[],"category_scores_codex":[0.0007076056,0.001477884,0.0009761875,0.003447403,0.0004610067,0.002038004,0.001748333,0.001206079,0.1235655],"category_scores_gemma":[0.004310442,0.000773554,0.0008465653,0.006554533,0.0002924343,0.000880277,0.001189355,0.00117603,0.1001762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001441108,"about_ca_system_score_gemma":0.001477512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03269726,"about_ca_topic_score_gemma":0.04312223,"domain_scores_codex":[0.9995012,0.0000549347,0.00007015929,0.0001414548,0.0001315664,0.0001006035],"domain_scores_gemma":[0.9986858,0.0003420314,0.0002886443,0.0002330162,0.0002630453,0.0001874796],"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":[0.00007230686,0.00001803372,0.001561357,0.0002990957,0.00002843766,0.00001817845,0.00001545062,0.0003392073,0.00005477667,0.0006099565,0.9951558,0.001827515],"study_design_scores_gemma":[0.0005816448,0.00003139687,0.01471375,0.0002886913,0.00004615662,0.00007512693,0.00006269833,0.0006379021,0.000350938,0.001298326,0.9818812,0.00003197383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001402779,0.00004190679,0.00002961313,0.0000421353,0.00001513928,0.000004425427,0.9989299,0.0001504027,0.0006461127],"genre_scores_gemma":[0.0008157059,0.00006987253,0.00008466574,0.00004295708,0.00001352635,0.00002735376,0.9977863,0.00005723845,0.001102313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8764345,"threshold_uncertainty_score":0.4133677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871547255422062,"score_gpt":0.2729011020087195,"score_spread":0.2541856294544989,"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."}}