{"id":"W6929605796","doi":"10.5064/f6jkv8qz/zqjzs1","title":"README_Aguessivognon.txt","year":2022,"lang":"es","type":"dataset","venue":"Syracuse University Qualitative Data Repository","topic":"Plant nutrient uptake and metabolism","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001321148,0.002048558,0.001104126,0.00397528,0.0007352067,0.003100422,0.002588319,0.001891252,0.2268958],"category_scores_gemma":[0.007787423,0.0008661671,0.00138857,0.006326964,0.000465361,0.001877463,0.002522538,0.001587721,0.1968842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001649686,"about_ca_system_score_gemma":0.002136581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02486924,"about_ca_topic_score_gemma":0.04729451,"domain_scores_codex":[0.9990569,0.0001837236,0.0001139686,0.0002915535,0.0001944128,0.0001595514],"domain_scores_gemma":[0.9965223,0.00145009,0.0002574469,0.000856597,0.0006089872,0.0003046526],"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":[0.00005541647,0.00001373136,0.0003374639,0.0005568019,0.00002170509,0.00001098566,0.00002848724,0.0001818664,0.00008039163,0.0004618551,0.9965868,0.001664379],"study_design_scores_gemma":[0.0002064412,0.00001565281,0.002091049,0.0002251763,0.00002007778,0.00002266631,0.00008618717,0.0003631153,0.000340034,0.001313655,0.9952891,0.00002692594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004222734,0.0000166514,0.00003859538,0.00003748367,0.000009875711,0.000006282014,0.9987662,0.0004161575,0.0006665124],"genre_scores_gemma":[0.0003054608,0.00004071999,0.0002385927,0.00004635284,0.000005747038,0.00007207923,0.9980755,0.0001711123,0.001044399],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7731042,"threshold_uncertainty_score":0.7590421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0721350060108252,"score_gpt":0.2946797593458577,"score_spread":0.2225447533350325,"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."}}