{"id":"W4399870604","doi":"10.23977/acss.2024.080107","title":"TSPPT: Two-Stage Prompt Pre-Train to Promote Few-Shot Learning Performance","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Problem and Project Based Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stage (stratigraphy); Shot (pellet); Computer science; Psychology; Materials science; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002366303,0.0001842983,0.0002852613,0.0001891717,0.0004167521,0.0005412376,0.0002447345,0.00007532156,0.00003813386],"category_scores_gemma":[0.00003649763,0.0001630251,0.00004308685,0.0005526076,0.00007805946,0.0007902983,0.00008285396,0.0003454847,0.00004270357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000073078,"about_ca_system_score_gemma":0.0001213009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005062211,"about_ca_topic_score_gemma":0.0002283308,"domain_scores_codex":[0.9978286,0.0004383405,0.0003664065,0.0004987683,0.0003648959,0.0005029594],"domain_scores_gemma":[0.9993643,0.0002424737,0.00007553458,0.0001217738,0.0000508525,0.0001450579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000427813,0.00004540286,0.01367382,0.001567757,0.00003436581,0.00008556801,0.07709358,0.2274474,0.0008121201,0.008416647,0.0001513561,0.6706293],"study_design_scores_gemma":[0.0002602059,0.0004022891,0.0004257938,0.002114195,0.000006983602,0.00001018478,0.0009123387,0.2683638,0.00008917465,0.0001924561,0.7268149,0.0004077448],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8573856,0.02741302,0.0928475,0.0005986722,0.002961011,0.002287539,0.000009882095,0.0006459488,0.01585083],"genre_scores_gemma":[0.9946346,0.0006934502,0.00168336,0.00007798941,0.0007106165,0.0001003567,0.000003479234,0.00002101479,0.00207515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7266635,"threshold_uncertainty_score":0.664797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02665639623570265,"score_gpt":0.3445301594309657,"score_spread":0.317873763195263,"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."}}