{"id":"W6945958209","doi":"10.25919/qavd-a582","title":"Parkes observations for project P268 semester 2008APRS_03","year":2012,"lang":"en","type":"dataset","venue":"CSIRO","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Tracking (education); Pulsar; Work (physics); Field (mathematics)","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":[0.0009907967,0.002192134,0.001275467,0.004436637,0.0006815542,0.001713476,0.002316316,0.001545889,0.08387034],"category_scores_gemma":[0.004209581,0.001188727,0.001015854,0.008394914,0.0002746366,0.001295479,0.001619383,0.001457499,0.09570878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001361035,"about_ca_system_score_gemma":0.002926877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08317713,"about_ca_topic_score_gemma":0.1152802,"domain_scores_codex":[0.9990873,0.0000843431,0.00009664553,0.0002563189,0.000262383,0.0002130165],"domain_scores_gemma":[0.9973158,0.0003494266,0.0003973088,0.0007352839,0.0008733908,0.0003287065],"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":[0.00005025603,0.00001676926,0.001185888,0.0001340443,0.00001932088,0.0000106015,0.00001477529,0.000228345,0.00006581361,0.0001503479,0.9965197,0.001604189],"study_design_scores_gemma":[0.0002837277,0.0000172571,0.0197366,0.0001523245,0.00003186401,0.00003676058,0.00009562124,0.0007358774,0.0004467474,0.0007155464,0.9777111,0.00003651244],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001037284,0.000007871889,0.00002817097,0.00001504833,0.000006290189,0.00000474182,0.9994414,0.0001074413,0.0002853025],"genre_scores_gemma":[0.0002742448,0.0000141222,0.0001423439,0.00001318032,0.000003834701,0.00004133558,0.9984918,0.00005892893,0.0009602066],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08387034,"threshold_uncertainty_score":0.2805743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1315005026942008,"score_gpt":0.3140035595388583,"score_spread":0.1825030568446575,"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."}}