{"id":"W6940034623","doi":"10.6084/m9.figshare.20800237","title":"Snowshoe hare mismatch survival analysis code","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snowshoe hare; Code (set theory); Scripting language; Statistical analysis; Debris","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":[0.001863134,0.001023419,0.0007399586,0.001171569,0.0005217947,0.001056355,0.001578704,0.0005930264,0.3754137],"category_scores_gemma":[0.005521236,0.0007521061,0.000947708,0.0007276873,0.0003217756,0.001036934,0.001007176,0.0009069493,0.1232592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000828293,"about_ca_system_score_gemma":0.001108022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005466674,"about_ca_topic_score_gemma":0.01224326,"domain_scores_codex":[0.9995984,0.00008288035,0.0000522106,0.0001186018,0.00008212064,0.00006576666],"domain_scores_gemma":[0.9967705,0.00209813,0.0001967282,0.0003114401,0.0004894517,0.0001337668],"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":[0.0005371654,0.0001340216,0.01059626,0.0008098238,0.0001282335,0.0002339437,0.0004138503,0.003025427,0.002174476,0.004994536,0.9270632,0.04988907],"study_design_scores_gemma":[0.0008285174,0.0001429417,0.03119744,0.0003986553,0.0001331164,0.0004487613,0.0002155306,0.02712035,0.00846505,0.01717526,0.9137021,0.0001723022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.009552904,0.0001311495,0.07421441,0.0003568169,0.000273486,0.0007461431,0.6879404,0.2051065,0.02167813],"genre_scores_gemma":[0.05547754,0.0002517349,0.1631068,0.001029724,0.0001798915,0.007067894,0.5063348,0.1915587,0.07499298],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.3754137,"threshold_uncertainty_score":0.8908965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974931020692523,"score_gpt":0.2318824928216445,"score_spread":0.2021331826147193,"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."}}