{"id":"W6960870737","doi":"10.14473/csda/hgzkpi/hbuf2m","title":"OM13_CHPS201.sps","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Syntax; Closing (real estate); Term (time)","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":[0.001407418,0.003355129,0.001865669,0.005186504,0.001209243,0.003593232,0.003815048,0.002943276,0.1168782],"category_scores_gemma":[0.009711842,0.001160527,0.00178503,0.009687914,0.0007037763,0.002481174,0.003287956,0.002465724,0.1766076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002135699,"about_ca_system_score_gemma":0.004314819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03286334,"about_ca_topic_score_gemma":0.04725185,"domain_scores_codex":[0.9981472,0.0002767147,0.0002531445,0.0005408472,0.0004396775,0.0003424049],"domain_scores_gemma":[0.9969409,0.0009054298,0.0002493473,0.0008598737,0.0007310142,0.0003133776],"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":[0.00005884922,0.00001684736,0.0004475466,0.0006030964,0.00002487599,0.00001772829,0.00002339303,0.0002030787,0.0001102482,0.0004283858,0.9965395,0.001526563],"study_design_scores_gemma":[0.0002742185,0.0000183115,0.002774456,0.0002452286,0.0000309521,0.00005659374,0.0001085471,0.0006316985,0.0004649722,0.001534026,0.9938227,0.00003827582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009076175,0.00003839138,0.00006529504,0.00004930712,0.00002003177,0.000007079221,0.9985271,0.0007292432,0.0004726805],"genre_scores_gemma":[0.0002125171,0.00003017438,0.000173218,0.00002228053,0.000003922271,0.00003183817,0.9991044,0.0001197177,0.0003018849],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8831218,"threshold_uncertainty_score":0.3909966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05597272345179923,"score_gpt":0.3160284763011809,"score_spread":0.2600557528493816,"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."}}