{"id":"W4398535791","doi":"10.7910/dvn/nnk8i7/kowrl2","title":"merge2003-4.do","year":2013,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science","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":[0.002720567,0.002994787,0.002145135,0.006294148,0.00125552,0.00551695,0.004987075,0.002163525,0.157958],"category_scores_gemma":[0.01170476,0.001366094,0.002041454,0.008383216,0.0007921966,0.003372251,0.004845451,0.002308824,0.2090823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001541577,"about_ca_system_score_gemma":0.003436359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109258,"about_ca_topic_score_gemma":0.01899964,"domain_scores_codex":[0.9979544,0.0003014363,0.0002885394,0.0006488646,0.0004789841,0.0003278497],"domain_scores_gemma":[0.9959907,0.0006451341,0.0003529058,0.001877452,0.0006065109,0.0005273882],"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":[0.0001334209,0.00002239967,0.0006676026,0.0005704187,0.00006664604,0.00001888074,0.00004200712,0.0002225941,0.0002919259,0.001943018,0.9925821,0.003439019],"study_design_scores_gemma":[0.0002344622,0.00001671673,0.001298693,0.0001426086,0.00003081144,0.00003554915,0.00004401912,0.0004706212,0.0009851916,0.003656941,0.9930541,0.00003037616],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001542394,0.00006899065,0.0004664946,0.0001192332,0.00004821737,0.00002628387,0.9899927,0.00668925,0.002434641],"genre_scores_gemma":[0.0004419785,0.000056132,0.001107548,0.00007907626,0.00001024981,0.00009086203,0.9959601,0.001332256,0.0009218971],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.842042,"threshold_uncertainty_score":0.5284222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09904301767954835,"score_gpt":0.3452947423597271,"score_spread":0.2462517246801787,"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."}}