{"id":"W7084149499","doi":"10.6084/m9.figshare.30038710","title":"Supplementary Material 2. PRISMA Flow Chart Outlining Review.pdf","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Psychological intervention; Transfer of training; Supervisor; Transfer of learning; Work (physics); Intervention (counseling); Organizational culture; Flow chart","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003788118,0.0003185808,0.0003664609,0.0001493739,0.00002471939,0.00006106719,0.0002381355,0.0002348032,0.8397425],"category_scores_gemma":[0.0001690936,0.0003524482,0.00009199985,0.0001187173,0.000003656103,0.0000356725,0.00007305383,0.0002263547,0.009945611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009592744,"about_ca_system_score_gemma":0.00004742501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001047025,"about_ca_topic_score_gemma":0.00001470052,"domain_scores_codex":[0.9989408,0.0000282813,0.000306232,0.0002978225,0.0001760011,0.0002508207],"domain_scores_gemma":[0.999263,0.00002306042,0.0001006138,0.0005224168,0.00003730092,0.00005354493],"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":[7.582046e-7,0.000003411498,3.111114e-7,0.005109889,0.00004263127,0.00001240432,0.000007792097,0.00001041329,0.00005503982,2.298468e-7,0.9866437,0.008113389],"study_design_scores_gemma":[0.00009819166,0.000004703186,0.00001243798,0.03498951,0.00003762995,0.000003466221,0.000002312641,0.001930316,0.0005509612,0.000001233493,0.9620764,0.0002928052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[1.524755e-7,0.002004517,0.00002801803,0.0001163059,0.0009405922,0.0006568753,0.5846854,0.0006955688,0.4108726],"genre_scores_gemma":[0.000003898158,0.0005566744,0.002325446,0.0002863458,0.0009203614,0.00008486457,0.7161685,0.0004560571,0.2791978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8297969,"threshold_uncertainty_score":0.9998928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02053242066735093,"score_gpt":0.2493430121986734,"score_spread":0.2288105915313225,"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."}}