{"id":"W6931145835","doi":"10.5281/zenodo.5776233","title":"McCannLab/Labmnivory: v1.0.0","year":2021,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; University of Guelph","funders":"","keywords":"Ectotherm; Identification (biology); Field (mathematics); Cannibalism; Natural (archaeology)","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":[0.002159726,0.004112553,0.001654362,0.003305337,0.0009444206,0.004700163,0.006823454,0.003182157,0.6233186],"category_scores_gemma":[0.006327657,0.001999119,0.001860671,0.002530259,0.00117778,0.005295813,0.006064103,0.003006592,0.6858749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001356155,"about_ca_system_score_gemma":0.001510628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004801493,"about_ca_topic_score_gemma":0.006118694,"domain_scores_codex":[0.9987839,0.0001635221,0.00009034711,0.0002737441,0.0004664315,0.0002221698],"domain_scores_gemma":[0.9977959,0.000451732,0.0001182185,0.000864619,0.0004600023,0.0003095655],"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":[0.0001588402,0.00003416387,0.0001567986,0.0004022598,0.00002817884,0.00009035323,0.00007374668,0.0006056906,0.0009774579,0.007867558,0.9573011,0.03230381],"study_design_scores_gemma":[0.0001660104,0.00003657119,0.000500088,0.0002135449,0.00001895545,0.0002241777,0.00003397509,0.005064684,0.006309461,0.01770303,0.969614,0.0001154233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0007233502,0.0005709511,0.06836436,0.0008702332,0.0007904873,0.0001991893,0.09385303,0.7282405,0.1063879],"genre_scores_gemma":[0.01658949,0.0006562191,0.04392673,0.001061354,0.0002749336,0.0009850706,0.1828648,0.6180194,0.1356221],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.6233186,"threshold_uncertainty_score":0.5372903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05354778571934778,"score_gpt":0.2523223326979364,"score_spread":0.1987745469785886,"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."}}