{"id":"W4398688902","doi":"10.7910/dvn/9atzw3/vcnsmw","title":"MIP data monthly description.txt","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Democracy; Computer science; Political science; Law","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":[0.001095558,0.002692922,0.001594129,0.004852354,0.0006440989,0.003427516,0.00300995,0.00198794,0.2185478],"category_scores_gemma":[0.007072305,0.0009385273,0.00141112,0.009929094,0.0004746192,0.002819815,0.002518019,0.00210622,0.282655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444275,"about_ca_system_score_gemma":0.001888372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02534738,"about_ca_topic_score_gemma":0.03372444,"domain_scores_codex":[0.9990383,0.0001556802,0.0001052078,0.0002756816,0.0002024983,0.0002227645],"domain_scores_gemma":[0.9975586,0.0005141015,0.000270813,0.000641469,0.0006932945,0.0003217138],"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":[0.00001675763,0.000005827225,0.0001407667,0.0001547521,0.000009346944,0.000004008984,0.000005909183,0.00008435443,0.00002310507,0.000232847,0.9985424,0.0007799036],"study_design_scores_gemma":[0.0001181582,0.00001138757,0.001677153,0.0001848357,0.00001569515,0.00002196743,0.00004655044,0.000279882,0.0001951994,0.001201135,0.9962264,0.00002166242],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003043485,0.00002847641,0.00003152066,0.00005916148,0.00002184227,0.000003864515,0.9987707,0.000413701,0.00064033],"genre_scores_gemma":[0.0002056056,0.00003766629,0.0001077446,0.00004513262,0.00001245376,0.00002567075,0.9986399,0.0001903833,0.0007355022],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7814522,"threshold_uncertainty_score":0.7311151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07331314626560992,"score_gpt":0.2726091326823613,"score_spread":0.1992959864167513,"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."}}