{"id":"W6930317227","doi":"10.5281/zenodo.13858302","title":"Lif2Tiff: An ImageJ Macro for Automated Extraction and Conversion of LIF Files","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metadata; Workflow; Macro; Plug-in; Channel (broadcasting); File format; Data extraction","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":[0.003394828,0.002439449,0.002283017,0.008118785,0.002319338,0.003945405,0.00451961,0.001701565,0.1616897],"category_scores_gemma":[0.005482752,0.003562013,0.001989604,0.002847672,0.0008437821,0.003387748,0.003287069,0.004394744,0.1144679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075174,"about_ca_system_score_gemma":0.001974608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101047,"about_ca_topic_score_gemma":0.005027856,"domain_scores_codex":[0.9980952,0.0001720716,0.00027714,0.0004732964,0.0007922066,0.000190081],"domain_scores_gemma":[0.9976955,0.0007616268,0.0002277536,0.0004724017,0.0006925108,0.000150158],"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":[0.0005422801,0.000113117,0.001432168,0.003304946,0.0002154021,0.000664553,0.0005435595,0.0007538017,0.2119972,0.006371257,0.6580689,0.1159928],"study_design_scores_gemma":[0.00008819552,0.00009657494,0.004670576,0.0003540225,0.0001231611,0.001624553,0.0001403294,0.007344449,0.1287079,0.005093461,0.8514749,0.000281812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005805516,0.001947305,0.5374564,0.0007227104,0.001057193,0.0008428529,0.1204114,0.308777,0.02297956],"genre_scores_gemma":[0.01285817,0.001629249,0.587318,0.001040927,0.0003787793,0.002840309,0.1448483,0.2196986,0.02938764],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1616897,"threshold_uncertainty_score":0.5409061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02076450780162976,"score_gpt":0.2449040024602479,"score_spread":0.2241394946586181,"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."}}