{"id":"W6889437915","doi":"10.25625/xn7lqy/10nivy","title":"root.length.and.main.depth.tab","year":2021,"lang":"en","type":"dataset","venue":"Göttingen Research Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","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":[0.001252654,0.003933012,0.002445241,0.005517295,0.001284854,0.005001105,0.00377563,0.004054991,0.2536746],"category_scores_gemma":[0.007936722,0.00156077,0.001822747,0.00856893,0.0007804277,0.003143133,0.002867809,0.00248893,0.3881496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002118983,"about_ca_system_score_gemma":0.002412967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01424016,"about_ca_topic_score_gemma":0.02532511,"domain_scores_codex":[0.9988368,0.0001582993,0.0001345343,0.0004261119,0.0002126077,0.0002315823],"domain_scores_gemma":[0.9968561,0.001111598,0.0002235663,0.0008026449,0.0006604111,0.0003457835],"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":[0.000052247,0.00001820677,0.0001755092,0.0009557029,0.00001776073,0.00001098027,0.00001826916,0.00009960304,0.00008757924,0.000293369,0.9968298,0.001440904],"study_design_scores_gemma":[0.0004410036,0.00002431592,0.001182973,0.0003648022,0.0000312362,0.00004512643,0.00007999405,0.0002816787,0.0004674646,0.001669649,0.9953751,0.00003675771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005584444,0.00008066302,0.00004927057,0.00006313839,0.00002475342,0.00001205024,0.9981037,0.0007178167,0.0008926866],"genre_scores_gemma":[0.0002942478,0.0001010746,0.0002957444,0.00008172235,0.00001208866,0.00009811714,0.9975786,0.0003743708,0.001164118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7463254,"threshold_uncertainty_score":0.8486261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521998941152588,"score_gpt":0.467615463902313,"score_spread":0.3154155697870542,"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."}}