{"id":"W6967465107","doi":"10.5063/f1p26w1t","title":"Mountain Birdwatch 1.0","year":2015,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Center (category theory); Mountain range (options); Breed; Work (physics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001325717,0.001163348,0.001221165,0.0007509954,0.0001554828,0.0002761793,0.002240232,0.001138108,0.005197621],"category_scores_gemma":[0.0005078234,0.001116193,0.0002763851,0.0009480235,0.0002668652,0.0003091013,0.00078513,0.001553062,0.3046885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034272,"about_ca_system_score_gemma":0.0009462258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003269461,"about_ca_topic_score_gemma":0.0008690524,"domain_scores_codex":[0.9943482,0.0003882255,0.0008380957,0.001351527,0.001786329,0.001287661],"domain_scores_gemma":[0.994993,0.0001504208,0.000509438,0.003330821,0.0003325441,0.0006837727],"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":[0.0001126969,0.0001874656,0.00007470532,0.0001319079,0.0001688633,0.0003865364,0.00003504098,0.000005993856,0.00011856,0.000009132991,0.9986317,0.0001374634],"study_design_scores_gemma":[0.0009058852,0.0001169974,0.00008059917,0.0001434603,0.0003663736,0.000137498,0.00006637003,0.00002616273,0.00005131057,0.0002203667,0.9965742,0.001310736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002606451,0.002230373,0.000001223103,0.00006000449,0.001460935,0.0007190354,0.9926959,0.0005714484,0.002000455],"genre_scores_gemma":[0.00005940116,0.000278111,0.00009293032,0.0005116169,0.001705111,0.0001223701,0.9955391,0.0004292833,0.00126213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2994909,"threshold_uncertainty_score":0.9991288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03040866374083126,"score_gpt":0.3036943088820757,"score_spread":0.2732856451412444,"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."}}