{"id":"W6958608987","doi":"10.6084/m9.figshare.22094969.v1","title":"Supplementary material for lichen biomonitoring study (Nova Scotia)","year":2023,"lang":"en","type":"other","venue":"Figshare","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lichen; Biomonitoring; Metadata; Nova scotia; Mercury (programming language)","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004305533,0.0002750124,0.000300421,0.00001725836,0.00007594923,0.0001228143,0.0003631707,0.0002028748,0.3876795],"category_scores_gemma":[0.00004246431,0.00009129816,0.0001311569,0.0002068753,0.000002518724,0.0000352212,0.0001421058,0.00007628476,0.001667724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002991485,"about_ca_system_score_gemma":0.000004466779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004708858,"about_ca_topic_score_gemma":0.03114425,"domain_scores_codex":[0.9988083,0.00003334621,0.0001992581,0.0004119632,0.0002131163,0.0003340058],"domain_scores_gemma":[0.9995778,0.0000896024,0.0001573998,0.00006508858,0.0000330515,0.0000770856],"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":[0.000004999863,0.00004472421,0.0003017427,0.00005118352,0.00005759526,0.000007677992,0.00001685583,2.949261e-8,0.001671955,1.618965e-7,0.9950212,0.002821854],"study_design_scores_gemma":[0.0001360803,0.0002243939,0.006831967,0.000846019,0.00002167955,0.000001373413,0.0002620208,1.847173e-7,0.0003843675,0.000001114305,0.9909912,0.0002995969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002506449,0.00007335643,3.763266e-9,0.0001160932,0.001250508,0.002083194,0.9874727,0.0005131829,0.005984533],"genre_scores_gemma":[0.01999641,0.000003129508,0.000009674737,0.00004879071,0.01822336,0.0007831629,0.7891268,0.00006321133,0.1717455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3860117,"threshold_uncertainty_score":0.9991096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06830045369245315,"score_gpt":0.2828842200424088,"score_spread":0.2145837663499557,"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."}}