{"id":"W6960989749","doi":"10.14473/csda/xckfy2/6gtpjz","title":"D01_CHPS101.pdf","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Product (mathematics); Identification (biology); Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":["open_science"],"category_scores_codex":[0.001072738,0.0005239059,0.0004428416,0.0002237449,0.001494991,0.0007114095,0.005503799,0.0004131798,0.0006483673],"category_scores_gemma":[0.0003708979,0.0005009555,0.000176231,0.0005448094,0.002333794,0.00002601132,0.008078208,0.0006275312,0.01083902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004315992,"about_ca_system_score_gemma":0.00132815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002362662,"about_ca_topic_score_gemma":0.0001455756,"domain_scores_codex":[0.9954438,0.0001125245,0.0004051581,0.002149787,0.000853005,0.00103579],"domain_scores_gemma":[0.9975801,0.00004482655,0.0002127305,0.00166256,0.0001171361,0.0003826928],"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":[0.00003477434,0.00009821071,0.00002522724,0.0001712112,0.00009836438,0.00005542047,0.0002259146,5.583508e-7,0.01835847,0.000141551,0.9778668,0.002923474],"study_design_scores_gemma":[0.0002095732,0.0002070021,0.0001536979,0.0001116465,0.0002180713,0.00002694598,0.0009929491,0.00008052906,0.0005792103,0.0004475256,0.9963198,0.0006530308],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001025772,0.0005909302,0.00007795428,0.0003343651,0.001680343,0.0002821957,0.9821143,0.00002017531,0.01387393],"genre_scores_gemma":[0.003692628,0.002554027,0.0003569281,0.0006265508,0.002442719,0.000007090692,0.9881092,0.00002083487,0.002189982],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01845299,"threshold_uncertainty_score":0.9999443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03042765337240185,"score_gpt":0.3092297346239973,"score_spread":0.2788020812515954,"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."}}