{"id":"W6969083361","doi":"10.5281/zenodo.8102138","title":"Plant-Functional-Trait-Course/pftc3_punaproject_pftc5: resubmission1","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics); Work (physics)","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":[0.001605675,0.002094792,0.001656204,0.001648609,0.001568754,0.001916106,0.003756989,0.002418456,0.3151117],"category_scores_gemma":[0.001559828,0.002279507,0.001648389,0.001442472,0.0005665945,0.001943031,0.002373918,0.003521514,0.3947046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380514,"about_ca_system_score_gemma":0.001163561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003475746,"about_ca_topic_score_gemma":0.004633752,"domain_scores_codex":[0.9993099,0.000091977,0.00005059447,0.0001907925,0.0002293143,0.0001274216],"domain_scores_gemma":[0.9988367,0.0003455704,0.00008305589,0.0003676226,0.0001233069,0.0002436292],"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":[0.001025931,0.0004614612,0.00134156,0.00221064,0.00008909057,0.000237431,0.0003655292,0.0009004414,0.09412987,0.007744817,0.8128169,0.07867632],"study_design_scores_gemma":[0.0002283739,0.0001028442,0.002208361,0.00008439251,0.00003890485,0.000214011,0.00002954849,0.0009021566,0.01885231,0.001698007,0.9755445,0.00009660823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.007055297,0.00104704,0.0840414,0.00095612,0.0009950692,0.0008592791,0.4974723,0.293337,0.1142364],"genre_scores_gemma":[0.02189203,0.0006825295,0.02796589,0.0009298792,0.000111182,0.001075766,0.6253238,0.2149081,0.1071109],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3151117,"threshold_uncertainty_score":0.9769101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05118160328320234,"score_gpt":0.2631147583900187,"score_spread":0.2119331551068164,"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."}}