{"id":"W6969613651","doi":"10.5281/zenodo.7697318","title":"Eight Types Of Bears Compared - Identification Guide","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Species identification; Taxonomy (biology); Race (biology); Ursus","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00175797,0.000763068,0.0006779727,0.003342734,0.002580839,0.001555818,0.001564153,0.0007338973,0.2412316],"category_scores_gemma":[0.004248079,0.0005293488,0.0006390623,0.002218382,0.0004664655,0.002083161,0.002701112,0.001125528,0.1019085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00070761,"about_ca_system_score_gemma":0.0014074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00847962,"about_ca_topic_score_gemma":0.01763921,"domain_scores_codex":[0.9985916,0.0001745267,0.0001564152,0.000321677,0.0005241819,0.000231631],"domain_scores_gemma":[0.9974963,0.0003596015,0.0001951083,0.0003880673,0.001338804,0.0002220869],"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":[0.000833242,0.000228358,0.02060237,0.000470355,0.00003053502,0.000355301,0.00164685,0.0003259189,0.002269822,0.01552496,0.7295955,0.2281167],"study_design_scores_gemma":[0.000042041,0.000121083,0.01582991,0.0001764823,0.00002612883,0.0004842271,0.001573617,0.0003480477,0.001747995,0.003523534,0.9760873,0.00003971042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04401495,0.001495458,0.04072263,0.002828747,0.003867273,0.004543461,0.2338396,0.006053948,0.6626338],"genre_scores_gemma":[0.07947347,0.00196979,0.09725381,0.002454964,0.0005603596,0.006093542,0.2192846,0.002212046,0.5906973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2412316,"threshold_uncertainty_score":0.8070002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03550967692242223,"score_gpt":0.2828170963543981,"score_spread":0.2473074194319758,"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."}}