{"id":"W4323112157","doi":"10.5281/zenodo.7697412","title":"8 Types Of Bears In Contrast - Identification Guide","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cephalopods and Marine Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Contrast (vision); Geography; Computer science; Artificial intelligence; Biology; Ecology","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":[0.0006204859,0.0007064147,0.0003866396,0.002078748,0.001018896,0.0005872972,0.0009544761,0.0003984734,0.2789963],"category_scores_gemma":[0.0009023026,0.0003631344,0.0003714685,0.001099823,0.0001879854,0.0009869279,0.001086847,0.0005840548,0.152238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002384278,"about_ca_system_score_gemma":0.0005011592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003817137,"about_ca_topic_score_gemma":0.01080958,"domain_scores_codex":[0.9997532,0.00002974077,0.00003991028,0.00006769094,0.00006043452,0.00004908955],"domain_scores_gemma":[0.9995004,0.00007116322,0.00006615093,0.00007623895,0.0002129895,0.00007303731],"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":[0.0002813348,0.0001554987,0.01158739,0.0003394371,0.00000912124,0.0002677717,0.0005019991,0.0001270023,0.001784106,0.007241442,0.7912812,0.1864238],"study_design_scores_gemma":[0.00001240697,0.00005781222,0.009781927,0.0001103087,0.000005626101,0.0004545885,0.0002877033,0.00005708895,0.0004435236,0.0008294967,0.987951,0.000008406114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02417873,0.003132011,0.01390392,0.001811287,0.002766378,0.003779217,0.2024737,0.002213034,0.7457417],"genre_scores_gemma":[0.03899221,0.00446985,0.0507043,0.002251293,0.0006451342,0.00371539,0.2345922,0.0007501784,0.6638796],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2789963,"threshold_uncertainty_score":0.9333355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03224056341933888,"score_gpt":0.2441987668496521,"score_spread":0.2119582034303132,"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."}}