{"id":"W6939127706","doi":"10.60692/bdj6r-cpa70","title":"Task-Informed Meta-Learning data","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Data set; Codebase; Data collection; Identification (biology); Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005084292,0.001743363,0.0009944257,0.003078971,0.0009090096,0.00275641,0.003359368,0.002639755,0.0505509],"category_scores_gemma":[0.0389826,0.0008358267,0.001788373,0.003104663,0.0006487243,0.002527838,0.002671842,0.004112702,0.04689474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169543,"about_ca_system_score_gemma":0.004720967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0108634,"about_ca_topic_score_gemma":0.02626779,"domain_scores_codex":[0.9975137,0.0005843878,0.0002384741,0.0008866859,0.0006159276,0.0001609129],"domain_scores_gemma":[0.9879228,0.005067867,0.0005400715,0.003404623,0.002575675,0.0004889466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001056839,0.0005694192,0.009348507,0.002710799,0.0003912172,0.0002348829,0.0003718139,0.01430216,0.003469924,0.005192738,0.8792133,0.08313836],"study_design_scores_gemma":[0.0007958596,0.0002153382,0.008569085,0.001254864,0.0003572261,0.0003157205,0.0002627832,0.03282639,0.01103186,0.03919518,0.9049473,0.0002283532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004666373,0.0007852768,0.02204756,0.00100827,0.0003892104,0.0003465289,0.9488879,0.01572074,0.006148039],"genre_scores_gemma":[0.01776262,0.0002883609,0.03873195,0.0004929405,0.00004967619,0.00124588,0.9352143,0.002291699,0.003922486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0505509,"threshold_uncertainty_score":0.1691096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08537860067123035,"score_gpt":0.2203564057766149,"score_spread":0.1349778051053845,"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."}}