{"id":"W6948566879","doi":"10.5281/zenodo.10694619","title":"PTN: A Target Enabling Package","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Plant Gene Expression Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Pleiotrophin; Quality (philosophy); Growth factor; Diversity (politics)","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":[],"consensus_categories":[],"category_scores_codex":[0.001999625,0.001785332,0.001552709,0.001228811,0.0006857495,0.002478357,0.002362065,0.001489612,0.2688044],"category_scores_gemma":[0.004748304,0.001314469,0.001410849,0.001024916,0.0006304068,0.00251614,0.003215038,0.002256487,0.2382662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009023143,"about_ca_system_score_gemma":0.00119678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005216681,"about_ca_topic_score_gemma":0.0004793173,"domain_scores_codex":[0.9992293,0.0001096865,0.00005590108,0.0001437625,0.0003346741,0.0001266071],"domain_scores_gemma":[0.9983684,0.0004365164,0.0001048669,0.0004519992,0.000342462,0.0002958518],"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":[0.00240719,0.0002079593,0.001189032,0.001698404,0.0001136632,0.001005333,0.0002388136,0.002424625,0.06419975,0.01512666,0.7483646,0.163024],"study_design_scores_gemma":[0.0004923431,0.0002568287,0.002003825,0.0001796229,0.00005900101,0.0006916648,0.00006045061,0.008372795,0.04349836,0.0154759,0.9287557,0.000153518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.002868398,0.0004310415,0.3360483,0.0008444785,0.0007806493,0.0007683531,0.0684515,0.5495172,0.04029018],"genre_scores_gemma":[0.06443492,0.002125066,0.2294819,0.002258097,0.0009352712,0.004118354,0.2521706,0.3121778,0.132298],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2688044,"threshold_uncertainty_score":0.8992402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939756715061447,"score_gpt":0.2480336101737075,"score_spread":0.228636043023093,"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."}}