{"id":"W6886130417","doi":"10.14473/csda/pug41w/mjvfyl","title":"D03_CHPS501.pdf","year":2024,"lang":"cs","type":"dataset","venue":"Czech Social Science Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Set (abstract data type); Identification (biology); Process (computing); Context (archaeology)","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","insufficient_payload"],"category_scores_codex":[0.008560308,0.001908904,0.001731056,0.002384394,0.005526358,0.004728998,0.03705987,0.0007606584,0.005622272],"category_scores_gemma":[0.004297756,0.001940919,0.0004514862,0.01033394,0.02330275,0.004310935,0.04132673,0.005054786,0.7527837],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703531,"about_ca_system_score_gemma":0.01091362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001856519,"about_ca_topic_score_gemma":0.002570747,"domain_scores_codex":[0.978842,0.0008145734,0.001638471,0.007643826,0.006608567,0.004452523],"domain_scores_gemma":[0.9873369,0.0008615243,0.00109532,0.008718004,0.0003794497,0.001608762],"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":[0.00008223468,0.000361069,0.00001018808,0.0004550684,0.0001986262,0.0005245897,0.002462029,5.292734e-7,0.003090955,0.002026061,0.9862609,0.004527768],"study_design_scores_gemma":[0.0004326996,0.0001557095,0.0002598603,0.0005885971,0.001025347,0.00007153807,0.002140433,0.0007787379,0.00008445284,0.007614514,0.9847046,0.002143482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006864189,0.0003671711,0.00004820873,0.0004901236,0.006088649,0.001595891,0.9717175,0.0003788844,0.01924497],"genre_scores_gemma":[0.0001679985,0.000602647,0.000907578,0.0005622013,0.006202039,0.00008643317,0.9901776,0.0002728242,0.001020653],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7471614,"threshold_uncertainty_score":0.9993655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06272079942541939,"score_gpt":0.3908345918727136,"score_spread":0.3281137924472942,"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."}}