{"id":"W7100719146","doi":"","title":"Abstract Robotic vision in a regenerating forest environment","year":2008,"lang":"en","type":"article","venue":"","topic":"Sport Psychology and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robot; Closeness; Function (biology); Robotics; Task (project management); Machine vision; Service (business)","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":[0.0002712001,0.0001582016,0.0001845643,0.0003454,0.0003849974,0.0005428611,0.0004214849,0.0003306305,0.001497443],"category_scores_gemma":[0.0004161574,0.0001239188,0.0001364876,0.0001851519,0.0005199683,0.0003846427,0.0003683336,0.0002304327,0.0002368775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005552777,"about_ca_system_score_gemma":0.0006401351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01257604,"about_ca_topic_score_gemma":0.0158206,"domain_scores_codex":[0.9998367,0.00003491678,0.000003457154,0.00002998866,0.00006823327,0.00002671233],"domain_scores_gemma":[0.9998766,0.00003176242,0.00001265375,0.00001241156,0.00004426372,0.00002232844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000444927,0.0002390663,0.003298589,0.00031785,0.00004386361,0.001027174,0.0006622587,0.09394782,0.3825766,0.02536105,0.008356762,0.4837241],"study_design_scores_gemma":[0.0001485118,0.001726301,0.04340729,0.0001207968,0.00006318521,0.002614803,0.001467046,0.7465786,0.08904557,0.04366771,0.07102439,0.0001358719],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.550241,0.00278124,0.4043212,0.0008099468,0.0001102218,0.0001292823,0.00008168331,0.002204691,0.03932073],"genre_scores_gemma":[0.8443915,0.0006161222,0.1420815,0.0002568798,0.00003209658,0.00003120678,0.00008061734,0.00003680193,0.01247344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01257604,"threshold_uncertainty_score":0.0250057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03612250718067909,"score_gpt":0.3108077307311726,"score_spread":0.2746852235504935,"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."}}