{"id":"W6931743224","doi":"10.5683/sp3/xobetk","title":"Shining Tree Ontario. 1:50,000. Map Sheet 041P11, ed. 3, 1996","year":2021,"lang":"en","type":"dataset","venue":"Borealis","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Georeference; Raster graphics; General partnership; Aerial photography; Natural (archaeology); Orthophoto; Government (linguistics); Geographic information system","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":[],"consensus_categories":[],"category_scores_codex":[0.0003821225,0.001462067,0.00110461,0.004182048,0.001275541,0.002206875,0.001517783,0.0004273926,0.1008355],"category_scores_gemma":[0.002210993,0.0007789923,0.0005691316,0.01739992,0.0003912083,0.0009598511,0.0008836995,0.000795761,0.08568604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007269839,"about_ca_system_score_gemma":0.01300529,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.872498,"about_ca_topic_score_gemma":0.9407787,"domain_scores_codex":[0.9995083,0.00002060313,0.00003879605,0.000119971,0.0002042272,0.0001080534],"domain_scores_gemma":[0.9984539,0.00009871149,0.000145536,0.0002193438,0.0008974512,0.0001850371],"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":[0.00002276127,0.000004348918,0.001145522,0.0002630148,0.000007918144,0.00001277253,0.00005162373,0.0000849077,0.00005345663,0.0002070642,0.9932248,0.004921775],"study_design_scores_gemma":[0.00003007804,0.000003442869,0.02081031,0.0001291429,0.00001086111,0.00002159974,0.000147421,0.0001113645,0.0001227234,0.0001988855,0.9783987,0.00001541451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001205072,0.00004615301,0.00003052874,0.0000193361,0.000007521457,0.000005731853,0.9977708,0.00009876238,0.00190063],"genre_scores_gemma":[0.0006056447,0.0001194175,0.0002039128,0.00001067963,0.000003404712,0.00003801639,0.9941918,0.00006786843,0.00475919],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.127502,"threshold_uncertainty_score":0.3373283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0368962811018092,"score_gpt":0.3029775491853692,"score_spread":0.26608126808356,"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."}}