{"id":"W6898919933","doi":"10.57745/dnfyze","title":"06_GWAS_Intensity_SW.Rmd","year":2024,"lang":"en","type":"dataset","venue":"Recherche Data Gouv France","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inuit Tapiriit Kanatami","funders":"","keywords":"Work (physics); Product (mathematics); Selection (genetic algorithm); Relation (database)","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":["insufficient_payload"],"category_scores_codex":[0.002536929,0.00298651,0.003095631,0.00328338,0.001241653,0.003389078,0.003881546,0.002489789,0.2990919],"category_scores_gemma":[0.01269271,0.001725346,0.002274368,0.00404518,0.0006754504,0.001443497,0.002252984,0.002160575,0.3067966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001106636,"about_ca_system_score_gemma":0.00213833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01047151,"about_ca_topic_score_gemma":0.01602067,"domain_scores_codex":[0.9983364,0.0003477279,0.0001481254,0.0006135789,0.0003093948,0.0002448051],"domain_scores_gemma":[0.9950514,0.002156012,0.0003471873,0.001326104,0.0006414319,0.0004778638],"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":[0.0001316979,0.00002461658,0.001191973,0.0007746036,0.00008401436,0.00004305414,0.00003003663,0.0001990146,0.0004330354,0.0004103926,0.99424,0.002437513],"study_design_scores_gemma":[0.001104358,0.00007405646,0.007878286,0.0003420049,0.0002108063,0.0003802347,0.00006311217,0.0005730605,0.001852014,0.003546702,0.9838885,0.00008687936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001563388,0.00008163525,0.0004505638,0.00007796386,0.00005550103,0.00002481682,0.9962322,0.001953289,0.0009677024],"genre_scores_gemma":[0.0009013727,0.00008310579,0.001111034,0.0001937164,0.00003706531,0.0002353581,0.9943514,0.001264205,0.001822743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7009081,"threshold_uncertainty_score":0.9997603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4526089940885483,"score_gpt":0.4623728891804533,"score_spread":0.009763895091905062,"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."}}