{"id":"W6931455952","doi":"10.5281/zenodo.5127617","title":"FIGURE 3 in DNA barcodes for Cladocera and Copepoda from Mexico and Guatemala, highlights and new discoveries","year":2008,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Brake Systems and Friction Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cladocera; DNA barcoding; Copepod; Crustacean; Taxonomy (biology); Holotype; Branchiopoda","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":[0.0002785767,0.0005873565,0.0002795641,0.003105298,0.0007510379,0.0008303247,0.0007755388,0.0008327814,0.1626381],"category_scores_gemma":[0.001084312,0.0002862034,0.0002878598,0.004607943,0.0003522461,0.0005443606,0.0006299966,0.0008329953,0.0433708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001033095,"about_ca_system_score_gemma":0.001081632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973274,"about_ca_topic_score_gemma":0.03179708,"domain_scores_codex":[0.9997515,0.00002030643,0.00001095846,0.00007682309,0.0001053216,0.00003504851],"domain_scores_gemma":[0.9995568,0.00008380794,0.0001064047,0.00004989989,0.0001521277,0.00005092097],"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":[0.0001632704,0.00003083388,0.002798671,0.001070849,0.00002845015,0.000399877,0.0003859422,0.0002349211,0.02300188,0.004513245,0.8149596,0.1524124],"study_design_scores_gemma":[0.000009928507,0.000009947367,0.009279765,0.0001040055,0.00001015774,0.0002363758,0.00009141691,0.0001624996,0.003326714,0.0006106792,0.9861487,0.000009716039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0479737,0.0127582,0.07980973,0.0139701,0.009382719,0.001052547,0.5089479,0.02889912,0.297206],"genre_scores_gemma":[0.07959943,0.009138151,0.1299561,0.003020765,0.001192615,0.001035299,0.3896872,0.006622859,0.3797476],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1626381,"threshold_uncertainty_score":0.5440788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111398457379963,"score_gpt":0.2030574612614351,"score_spread":0.1819434766876355,"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."}}