{"id":"W4327632540","doi":"10.5281/zenodo.7742591","title":"8 Types Of Bears Compared - Identification Guide","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001538707,0.0008348218,0.0007241509,0.004146751,0.001701161,0.001105487,0.00153979,0.0006227778,0.3183195],"category_scores_gemma":[0.004311211,0.0005270957,0.000642794,0.002508311,0.0002559298,0.001714662,0.001870529,0.00111598,0.1633335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005226185,"about_ca_system_score_gemma":0.00113217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008726324,"about_ca_topic_score_gemma":0.01450665,"domain_scores_codex":[0.9990506,0.0001443769,0.0001658432,0.0002081132,0.0002808578,0.0001502011],"domain_scores_gemma":[0.9978399,0.0002952334,0.0002032611,0.0003301888,0.001167277,0.0001641092],"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":[0.0003302926,0.0001340251,0.0108175,0.0003798936,0.00001699757,0.0001835062,0.0005101057,0.000131784,0.0005105988,0.004952366,0.8661653,0.1158677],"study_design_scores_gemma":[0.00003449638,0.00008209223,0.01277897,0.0002309932,0.00001624734,0.000411306,0.0006375859,0.0001104961,0.0005468449,0.001591451,0.9835384,0.00002106123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01449422,0.001461025,0.01390791,0.001562554,0.002804622,0.005146437,0.5830249,0.003003172,0.3745951],"genre_scores_gemma":[0.02684868,0.002517201,0.04664982,0.002201723,0.0005874847,0.00911005,0.5740396,0.001518246,0.3365272],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3183195,"threshold_uncertainty_score":0.9723344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05744820593913984,"score_gpt":0.2709297718979271,"score_spread":0.2134815659587873,"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."}}